Kooperativer Bibliotheksverbund

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Umfang: XV, 731 p. 343 illus., 259 illus. in color. , online resource.

Ausgabe: 1st ed. 2023.

ISBN: 9789811926006

Serie: Lecture Notes on Data Engineering and Communications Technologies, 137

Inhalt: This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 14-16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Anmerkung: Part I: Machine Learning -- Recognizing similar relationships within ontology to fine tune Ontology -- Object Detection using Peak, Balanced Division Point and Shape based Features -- End to End Agile and Automated Machine Learning Framework for Trustworthy, Reliable and Sustainable Artificial Intelligence -- Automated Structured Data Extraction from Scanned Document Images -- Effective Sentiment Analysis of Bengali Corpus by using the Machine Learning approach -- Review on Android Malware Detection System -- Hypothesis Testing of Tweet Text using NLP -- Forecasting Severe Thunderstorm by applying SVM Technique on Cloud imageries -- Breast Cancer Prediction using MachineLearning Techniques -- Ontology-Driven Scientific Literature Classification using Clustering and Self-Supervised Learning -- Modeling and forecasting Tuberculosis cases using machine learning and deep learning approaches: A Comparative Study -- Drone Integrated Detection and Rebarbative System with Variable Frequency for Agricultural Farm Invading Animals -- Support Vector Machines and Random Forest Classification models for identification of Stability in Extrusion Film Casting Process -- Predicting CO2 emissions by Vehicles using Machine Learning -- Augmented Feature Generation using Maximum Mutual Information Minimum Correlation -- Impact of Energy Sector on Climate Change in India using Forecasting Models -- Towards Efficient Edge Computing Through Adoption of Reinforcement Learning Strategies: A Review -- Thematic Classification Based On Topological Traits -- Machine Learning based Earthquake Early Warning (EEW) System: A case study of Himalayan Region -- Topic Modelling Based Semantic Search -- Machine Learning based Automated Process for Predicting the Anomaly in AIS Data -- A Hybrid Machine Learning Model for Estimation of Obesity Levels -- Part II: AI & Deep Learning -- Regulations 4.0: Digitally Transforming the Regulatory Space -- Speech To Text for Data Entry - Opportunities and Challenges -- A Gamification Architecture For Online Learning Platform using Neural Network -- Literature Review on Sign Language Generation -- Indoor Navigation Using Augmented Reality -- Foreign object detection on an assembly line -- Inverse Contexture Abstractive Term Frequency Model using Surf Scale Diffusive Neural Network for analysis of fake social content in public forum -- Literature Review on Machine Translation Systems for Sign Language Generation -- Depression Detection from Twitter Data using Two Level Multi-modal Feature Extraction -- COVID-19 Regulations Check: Social Distancing, People Counting and Mask Wear Check -- Urdu & Hindi Poetry Generation using Neural Networks -- Implementation of Open Domain Question Answering System -- Design and Implementation of Surround View Monitoring System in View of Autonomous Vehicle -- Generation of Indian Sign Language Animation from Audio and Video Content using Natural Language Processing -- Histogram Based Initial Centroids Selection for K-Means Clustering -- Siamese Network-based system for criminal identification -- Track-III: Data Storage Management & Innovation -- Organization Network Analysis for study of employee techno-social connects and effect of human behavior and organizational culture on the underlying network -- Track IV: Enabling Technologies & Applications -- Sky Computing Smart Locality Aware approach for Health Analytics -- Citation Biases: Detecting Communities from Patterns of Temporal Variation in Journal Citation Networks -- Enhancing the Performance of Multiple Wi-Fi Network -- ARCaddy: Augmented Reality App Suite for Aircraft Maintenance -- Meditation Therapy for Stress Management Using Brainwave Computing and Real Time Virtual Reality Feedback -- Real Time Carbon Emissions Calculator for Personal Computers -- Track-V: Data Science Techniques for handling Pandemic -- Navigation System for Visually Impaired People -- Design aspects of a Multi-dimensional Hybrid analytical processing system -- A data science approach to evaluate drug effectiveness: Case Study of Remdesivir for Covid-19 patients in India -- A Softcomputing Approach For Predicting And Categorising Learner's Performance Using Fuzzy Model.

In: Springer Nature eBook

Weitere Ausg.: Printed edition: ISBN 9789811925993

Weitere Ausg.: Printed edition: ISBN 9789811926013

Weitere Ausg.: Printed edition: ISBN 9789811926020

Sprache: Englisch

DOI: 10.1007/978-981-19-2600-6

URL: https://doi.org/10.1007/978-981-19-2600-6

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Umfang: 1 online resource (358 pages)

ISBN: 9783319939353

Serie: The Information Retrieval Ser. ; v.39

Anmerkung: Intro -- Preface -- Website -- Contents -- Acronyms -- Notation -- 1 Introduction -- 1.1 What Is an Entity? -- 1.1.1 Named Entities vs. Concepts -- 1.1.2 Properties of Entities -- 1.1.3 Representing Properties of Entities -- 1.2 A Brief Historical Outlook -- 1.2.1 Information Retrieval -- 1.2.2 Databases -- 1.2.3 Natural Language Processing -- 1.2.4 Semantic Web -- 1.3 Entity-Oriented Search -- 1.3.1 A Bird's-Eye View -- 1.3.1.1 Users and Information Needs -- 1.3.1.2 Search Engine -- 1.3.1.3 Data -- 1.3.2 Tasks and Challenges -- 1.3.2.1 Entities as the Unit of Retrieval -- 1.3.2.2 Entities for Knowledge Representation -- 1.3.2.3 Entities for an Enhanced User Experience -- 1.3.3 Entity-Oriented vs. Semantic Search -- 1.3.4 Application Areas -- 1.4 About the Book -- 1.4.1 Focus -- 1.4.2 Audience and Prerequisites -- 1.4.3 Organization -- 1.4.4 Terminology and Notation -- References -- 2 Meet the Data -- 2.1 The Web -- 2.1.1 Datasets and Resources -- 2.2 Wikipedia -- 2.2.1 The Anatomy of a Wikipedia Article -- 2.2.1.1 Title -- 2.2.1.2 Infobox -- 2.2.1.3 Introductory Text -- 2.2.2 Links -- 2.2.3 Special-Purpose Pages -- 2.2.3.1 Redirect Pages -- 2.2.3.2 Disambiguation Pages -- 2.2.4 Categories, Lists, and Navigation Templates -- 2.2.4.1 Categories -- 2.2.4.2 Lists -- 2.2.4.3 Navigation Templates -- 2.2.5 Resources -- 2.3 Knowledge Bases -- 2.3.1 A Knowledge Base Primer -- 2.3.1.1 Knowledge Bases vs. Ontologies -- 2.3.1.2 RDF -- 2.3.2 DBpedia -- 2.3.2.1 Ontology -- 2.3.2.2 Extraction -- 2.3.2.3 Datasets and Resources -- 2.3.3 YAGO -- 2.3.3.1 Taxonomy -- 2.3.3.2 Extensions -- 2.3.3.3 Resources -- 2.3.4 Freebase -- 2.3.5 Wikidata -- 2.3.6 The Web of Data -- 2.3.6.1 Datasets and Resources -- 2.3.7 Standards and Resources -- 2.4 Summary -- References -- Part I Entity Ranking -- 3 Term-Based Models for Entity Ranking -- 3.1 The Ad Hoc Entity Retrieval Task. , 3.2 Constructing Term-Based Entity Representations -- 3.2.1 Representations from Unstructured Document Corpora -- 3.2.1.1 Document-Level Annotations -- 3.2.1.2 Mention-Level Annotations -- 3.2.2 Representations from Semi-structured Documents -- 3.2.3 Representations from Structured Knowledge Bases -- 3.2.3.1 Predicate Folding -- 3.2.3.2 From Triples to Text -- 3.2.3.3 Multiple Knowledge Bases -- 3.3 Ranking Term-Based Entity Representations -- 3.3.1 Unstructured Retrieval Models -- 3.3.1.1 Language Models -- 3.3.1.2 BM25 -- 3.3.1.3 Sequential Dependence Models -- 3.3.2 Fielded Retrieval Models -- 3.3.2.1 Mixture of Language Models -- 3.3.2.2 Probabilistic Retrieval Model for Semi-Structured Data -- 3.3.2.3 BM25F -- 3.3.2.4 Fielded Sequential Dependence Models -- 3.3.3 Learning-to-Rank -- 3.3.3.1 Features -- 3.3.3.2 Learning Algorithms -- 3.3.3.3 Practical Considerations -- 3.4 Ranking Entities Without Direct Representations -- 3.5 Evaluation -- 3.5.1 Evaluation Measures -- 3.5.2 Test Collections -- 3.5.2.1 TREC Enterprise -- 3.5.2.2 INEX Entity Ranking -- 3.5.2.3 TREC Entity -- 3.5.2.4 Semantic Search Challenge -- 3.5.2.5 INEX Linked Data -- 3.5.2.6 Question Answering over Linked Data -- 3.5.2.7 The DBpedia-Entity Test Collection -- 3.6 Summary -- 3.7 Further Reading -- References -- 4 Semantically Enriched Models for Entity Ranking -- 4.1 Semantics Means Structure -- 4.2 Preserving Structure -- 4.2.1 Multi-Valued Predicates -- 4.2.1.1 Parameter Settings -- 4.2.2 References to Entities -- 4.3 Entity Types -- 4.3.1 Type Taxonomies and Challenges -- 4.3.2 Type-Aware Entity Ranking -- 4.3.3 Estimating Type-Based Similarity -- 4.4 Entity Relationships -- 4.4.1 Ad Hoc Entity Retrieval -- 4.4.2 List Search -- 4.4.3 Related Entity Finding -- 4.4.3.1 Candidate Selection -- 4.4.3.2 Type Filtering -- 4.4.3.3 Entity Relevance -- 4.5 Similar Entity Search. , 4.5.1 Pairwise Entity Similarity -- 4.5.1.1 Term-Based Similarity -- 4.5.1.2 Corpus-Based Similarity -- 4.5.1.3 Distributional Similarity -- 4.5.1.4 Graph-Based Similarity -- 4.5.1.5 Property-Specific Similarity -- 4.5.2 Collective Entity Similarity -- 4.5.2.1 Structure-Based Method -- 4.5.2.2 Aspect-Based Method -- 4.6 Query-Independent Ranking -- 4.6.1 Popularity -- 4.6.2 Centrality -- 4.6.2.1 PageRank -- 4.6.2.2 PageRank for Entities -- 4.6.2.3 A Two-Layered Extension of PageRank for the Web of Data -- 4.6.3 Other Methods -- 4.7 Summary -- 4.8 Further Reading -- References -- Part II Bridging Text and Structure -- 5 Entity Linking -- 5.1 From Named Entity Recognition Toward Entity Linking -- 5.1.1 Named Entity Recognition -- 5.1.2 Named Entity Disambiguation -- 5.1.3 Entity Coreference Resolution -- 5.2 The Entity Linking Task -- 5.3 The Anatomy of an Entity Linking System -- 5.4 Mention Detection -- 5.4.1 Surface Form Dictionary Construction -- 5.4.2 Filtering Mentions -- 5.4.3 Overlapping Mentions -- 5.5 Candidate Selection -- 5.6 Disambiguation -- 5.6.1 Features -- 5.6.1.1 Prior Importance Features -- 5.6.1.2 Contextual Features -- 5.6.1.3 Entity-Relatedness Features -- 5.6.2 Approaches -- 5.6.2.1 Individual Local Disambiguation -- 5.6.2.2 Individual Global Disambiguation -- 5.6.2.3 Collective Disambiguation -- 5.6.3 Pruning -- 5.7 Entity Linking Systems -- 5.8 Evaluation -- 5.8.1 Evaluation Measures -- 5.8.2 Test Collections -- 5.8.2.1 Individual Researchers -- 5.8.2.2 INEX Link-the-Wiki -- 5.8.2.3 TAC Entity Linking -- 5.8.2.4 Entity Recognition and Disambiguation Challenge -- 5.8.3 Component-Based Evaluation -- 5.9 Resources -- 5.9.1 A Cross-Lingual Dictionary for English Wikipedia Concepts -- 5.9.2 Freebase Annotations of the ClueWeb Corpora -- 5.10 Summary -- 5.11 Further Reading -- References -- 6 Populating Knowledge Bases. , 6.1 Harvesting Knowledge from Text -- 6.1.1 Class-Instance Acquisition -- 6.1.1.1 Obtaining Instances of Semantic Classes -- 6.1.1.2 Obtaining Semantic Classes of Instances -- 6.1.2 Class-Attribute Acquisition -- 6.1.3 Relation Extraction -- 6.2 Entity-Centric Document Filtering -- 6.2.1 Overview -- 6.2.2 Mention Detection -- 6.2.3 Document Scoring -- 6.2.3.1 Mention-Based Scoring -- 6.2.3.2 Boolean Queries -- 6.2.3.3 Supervised Learning -- 6.2.4 Features -- 6.2.4.1 Document Features -- 6.2.4.2 Entity Features -- 6.2.4.3 Document-Entity Features -- 6.2.4.4 Temporal Features -- 6.2.5 Evaluation -- 6.2.5.1 Test Collections -- 6.2.5.2 Annotations -- 6.2.5.3 Evaluation Methodology -- 6.2.5.4 Evaluation Methodology Revisited -- 6.3 Slot Filling -- 6.3.1 Approaches -- 6.3.2 Evaluation -- 6.4 Summary -- 6.5 Further Reading -- References -- Part III Semantic Search -- 7 Understanding Information Needs -- 7.1 Semantic Query Analysis -- 7.1.1 Query Classification -- 7.1.1.1 Query Intent Classification -- 7.1.1.2 Query Topic Classification -- 7.1.2 Query Annotation -- 7.1.2.1 Query Segmentation -- 7.1.2.2 Query Tagging -- 7.1.3 Query Interpretation -- 7.2 Identifying Target Entity Types -- 7.2.1 Problem Definition -- 7.2.2 Unsupervised Approaches -- 7.2.2.1 Type-Centric Model -- 7.2.2.2 Entity-Centric Model -- 7.2.3 Supervised Approach -- 7.2.4 Evaluation -- 7.2.4.1 Evaluation Measures -- 7.2.4.2 Test Collections -- 7.3 Entity Linking in Queries -- 7.3.1 Entity Annotation Tasks -- 7.3.1.1 Named Entity Recognition -- 7.3.1.2 Semantic Linking -- 7.3.1.3 Interpretation Finding -- 7.3.2 Pipeline Architecture for Interpretation Finding -- 7.3.3 Candidate Entity Ranking -- 7.3.3.1 Unsupervised Approach -- 7.3.3.2 Supervised Approach -- 7.3.3.3 Gathering Additional Context -- 7.3.3.4 Evaluation and Test Collections -- 7.3.4 Producing Interpretations. , 7.3.4.1 Unsupervised Approach -- 7.3.4.2 Supervised Approach -- 7.3.4.3 Evaluation Measures -- 7.3.4.4 Test Collections -- 7.4 Query Templates -- 7.4.1 Concepts and Definitions -- 7.4.2 Template Discovery Methods -- 7.4.2.1 Classify& -- Match -- 7.4.2.2 QueST -- 7.5 Summary -- 7.6 Further Reading -- References -- 8 Leveraging Entities in Document Retrieval -- 8.1 Mapping Queries to Entities -- 8.2 Leveraging Entities for Query Expansion -- 8.2.1 Document-Based Query Expansion -- 8.2.2 Entity-Centric Query Expansion -- 8.2.3 Unsupervised Term Selection -- 8.2.4 Supervised Term Selection -- 8.2.4.1 Features -- 8.2.4.2 Training -- 8.3 Projection-Based Methods -- 8.3.1 Explicit Semantic Analysis -- 8.3.1.1 ESA Concept-Based Indexing -- 8.3.1.2 ESA Concept-Based Retrieval -- 8.3.2 Latent Entity Space Model -- 8.3.3 EsdRank -- 8.3.3.1 Features -- 8.3.3.2 Learning-to-Rank Model -- 8.4 Entity-Based Representations -- 8.4.1 Entity-Based Document Language Models -- 8.4.2 Bag-of-Entities Representation -- 8.4.2.1 Basic Ranking Models -- 8.4.2.2 Explicit Semantic Ranking -- 8.4.2.3 Word-Entity Duet Framework -- 8.4.2.4 Attention-Based Ranking Model -- 8.5 Practical Considerations -- 8.6 Resources and Test Collections -- 8.7 Summary -- 8.8 Further Reading -- References -- 9 Utilizing Entities for an Enhanced Search Experience -- 9.1 Query Assistance -- 9.1.1 Query Auto-completion -- 9.1.1.1 Leveraging Entity Types -- 9.1.2 Query Recommendations -- 9.1.2.1 Query-Flow Graph -- 9.1.2.2 Exploiting Entity Aspects -- 9.1.2.3 Entity Types -- 9.1.2.4 Entity Relationships -- 9.1.3 Query Building Interfaces -- 9.2 Entity Cards -- 9.2.1 The Anatomy of an Entity Card -- 9.2.2 Factual Entity Summaries -- 9.2.2.1 Fact Ranking -- 9.2.2.2 Summary Generation -- 9.3 Entity Recommendations -- 9.3.1 Recommendations Given an Entity -- 9.3.2 Personalized Recommendations. , 9.3.2.1 Entity-Based Method.

Weitere Ausg.: Print version: Balog, Krisztian Entity-Oriented Search Cham : Springer International Publishing AG,c2018 ISBN 9783319939339

Sprache: Englisch

Schlagwort(e): Electronic books. ; Electronic books ; Electronic books.

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Umfang: 1 online resource (369 pages)

Ausgabe: 1st ed.

ISBN: 9783030202231

Serie: ICME-13 Monographs

Anmerkung: International Reflections on the Netherlands Didactics of Mathematics -- Preface -- Contents -- 1 Seen Through Other Eyes-Opening Up New Vistas in Realistic Mathematics Education Through Visions and Experiences from Other Countries -- 1.1 Introduction3pc -- 1.2 Making Acquaintance with RME3pc -- 1.2.1 Personal Encounters3pc -- 1.2.2 Narratives of First RME Experiences3pc -- 1.2.3 Outstanding Features of RME3pc -- 1.3 Processes of Implementation of RME3pc -- 1.4 Challenges in Implementing RME3pc -- 1.5 Adaptations of RME3pc -- 1.6 Criticisms of RME and Dissenting Views3pc -- 1.7 RME Flavours in Foreign Curricula, Textbooks, Instructional Materials, and Teaching Methods3pc -- 1.8 A Reflection to Conclude3pc -- 2 From Tinkering to Practice-The Role of Teachers in the Application of Realistic Mathematics Education Principles in the United States -- 2.1 Introduction3pc -- 2.1.1 The Role of Teachers in Advancing RME in the United States3pc -- 2.1.2 Attractive Features of RME to U.S. Teachers3pc -- 2.2 Introduction of RME in the United States: Late 1980s-Mid 1990s3pc -- 2.2.1 The Whitnall Study3pc -- 2.2.2 Going to Scale with Mathematics in Context3pc -- 2.2.3 Assessing RME3pc -- 2.2.4 Two Other Collaborations3pc -- 2.2.5 FIUS: Developing RME Networks in the United States3pc -- 2.3 Guided Reinvention of High School Mathematics: Fred Peck's Personal Account3pc -- 2.4 Summary Remarks3pc -- References -- 3 Searching for Alternatives for New Math in Belgian Primary Schools-Influence of the Dutch Model of Realistic Mathematics Education -- 3.1 Traditional Mathematics3pc -- 3.2 New Math3pc -- 3.3 Critique on New Math3pc -- 3.4 The 'Realistic' Alternative3pc -- 3.5 Math Wars3pc -- 3.6 Future Developments?3pc -- References -- 4 The Impact of Hans Freudenthal and the Freudenthal Institute on the Project Mathe 2000 -- 4.1 Introduction3pc. , 4.2 Developmental Research3pc -- 4.3 The View of Mathematics3pc -- 4.4 A Genetic View of Teaching and Learning3pc -- 4.5 Mathematics Education as a Research Domain3pc -- References -- 5 Reflections on Realistic Mathematics Education from a South African Perspective -- 5.1 Introduction3pc -- 5.2 The Essences of REMESA3pc -- 5.3 Vision Geometry3pc -- 5.4 Global Graphs3pc -- 5.5 Conclusion3pc -- References -- 6 Learning to Look at the World Through Mathematical Spectacles-A Personal Tribute to Realistic Mathematics Education -- 6.1 At the Beginning It Was Symbol Crunching, but with a Bit of Spice3pc -- 6.2 Starting to Look at the World with Mathematical Spectacles3pc -- 6.3 Meeting RME3pc -- 6.4 Developing a 'Mathematical Gaze'-From Instructional Design to a Learning Goal3pc -- 6.5 Coda3pc -- References -- 7 Graphing Linear Equations-A Comparison of the Opportunity-to-Learn in Textbooks Using the Singapore and the Dutch Approaches to Teaching Equations -- 7.1 Introduction3pc -- 7.2 A Study of Teaching Graphing Linear Equations in Textbooks Using the Singapore and Dutch Approach3pc -- 7.2.1 Objective of This Chapter3pc -- 7.2.2 Backgrounds of the Contexts of Textbooks Examined3pc -- 7.2.3 Framework for Analysing the OTL in the Textbooks3pc -- 7.3 Data and Results3pc -- 7.3.1 The Sequencing of the Content on Graphing Equations in the Two Textbooks3pc -- 7.3.2 Classroom Activities Proposed on Graphing Equations in the Two Textbooks3pc -- 7.3.3 Complexity of the Demands for Student Performance on Graphing Equations in the Two Textbooks3pc -- 7.4 Findings and Discussion3pc -- 7.4.1 Sequencing of Content3pc -- 7.4.2 Classroom Activities3pc -- 7.4.3 Complexity of the Demands for Student Performance3pc -- 7.5 Reflections of Two Singapore Mathematics Teachers3pc -- 7.5.1 Profiles of the Two Teachers3pc. , 7.5.2 How Do You Teach Graphing Equations to Your Students?3pc -- 7.5.3 Has the Dutch Approach Textbook Provided You with an Alternative Perspective?3pc -- 7.5.4 Would the Dutch Approach Work in Singapore Classrooms? What Would It Take for It to Work in Singapore Classrooms?3pc -- 7.6 Concluding Remarks3pc -- References -- 8 Low Achievers in Mathematics-Ideas from the Netherlands for Developing a Competence-Oriented View -- 8.1 Introduction3pc -- 8.2 Mathematics Education in Special Education in Germany3pc -- 8.3 Looking at the Netherlands: Looking at a Competence-Oriented Approach3pc -- 8.3.1 Realistic Mathematics Education3pc -- 8.3.2 Diagnostic Procedures: New Assessment Formats3pc -- 8.3.3 Students' Own Productions: Open Problems3pc -- 8.3.4 Making Connections Between Problems: Patterns and Structures3pc -- 8.4 Research in Germany3pc -- 8.4.1 Competence-Oriented Diagnosis3pc -- 8.4.2 Students' Own Productions: Open Problems3pc -- 8.4.3 Making Use of Picture Books for Learning Mathematics3pc -- 8.4.4 Primary Students' Preconceptions of Negative Numbers3pc -- 8.5 Conclusions and Perspectives3pc -- 8.5.1 Competence-Oriented Diagnosis and Instruction3pc -- 8.5.2 Own Productions and Open Problems3pc -- 8.5.3 Support of Own Strategies3pc -- 8.5.4 Role of Mistakes3pc -- 8.5.5 Last but Not Least3pc -- References -- 9 From the Bottom Up-Reinventing Realistic Mathematics Education in Southern Argentina -- 9.1 Introduction3pc -- 9.1.1 Curricular Innovation in Mathematics Education3pc -- 9.1.2 Initial Attempts at Bringing Realistic Mathematics Education to Argentina3pc -- 9.1.3 San Carlos de Bariloche, Birthplace of the Grupo Patagónico de Didáctica de la Matemática3pc -- 9.2 First Phase (2000-2004): Contexts, Situations, Models, and Strategies3pc -- 9.2.1 Fractions, Decimals, and Percentages3pc -- 9.2.2 City Buses3pc. , 9.2.3 From Necklaces to Number Lines3pc -- 9.2.4 The Function of Contexts in RME3pc -- 9.2.5 Mental Arithmetic: Models and Strategies3pc -- 9.3 Second Phase (2005-2009): Deepening and Solidifying3pc -- 9.3.1 Mathematising Within the GPDM3pc -- 9.3.2 Making Connections3pc -- 9.3.3 Fall Seminar: Teachers Teaching Teacher Educators3pc -- 9.3.4 In the Meanwhile, in Pre-service Teacher Education3pc -- 9.3.5 Thinking Aloud Together3pc -- 9.4 Third Phase (2011-2015): The GPDM, an Ever-Expanding Endeavour3pc -- 9.4.1 More Publications and Translations3pc -- 9.4.2 Research Projects3pc -- 9.5 Closure3pc -- References -- 10 Realistic Mathematics Education in the Chinese Context-Some Personal Reflections -- 10.1 Historical Review3pc -- 10.1.1 Hans Freudenthal's Visit to China3pc -- 10.1.2 Chinese Scholars' Visits to the Freudenthal Institute3pc -- 10.1.3 Two Forums on the Theory and Practice of RME Held in China3pc -- 10.2 The Influence of RME in the Chinese Context3pc -- 10.2.1 The Influence of RME on Curricular Policy Making3pc -- 10.2.2 The Influence of RME on Textbook Design3pc -- 10.2.3 The Influence of RME on Classroom Teaching3pc -- References -- 11 The Enrichment of Belgian Secondary School Mathematics with Elements of the Dutch Model of Realistic Mathematics Education Since the 1980s -- 11.1 Papy and Freudenthal: Opposite Views on Mathematics Education in Neighbouring Countries3pc -- 11.2 Critique on New Math in Belgium and Search for Alternatives3pc -- 11.3 How During the Middle 1980s and 1990s New Developments in Neighbouring Countries Reached the Community of Flemish Mathematics Teachers3pc -- 11.3.1 Rounding off the Rough Edges of New Math3pc -- 11.3.2 A Second Wave of Changes3pc -- 11.3.3 Consolidation3pc -- 11.4 Some Topics that Underwent a True Metamorphosis3pc -- 11.5 Conclusion3pc -- References. , 12 Echoes and Influences of Realistic Mathematics Education in Portugal -- 12.1 Introduction3pc -- 12.2 Influences on Research Studies3pc -- 12.2.1 Whole Numbers and Operations3pc -- 12.2.2 Mental Calculation3pc -- 12.2.3 Rational Numbers3pc -- 12.2.4 Algebra3pc -- 12.2.5 Geometry3pc -- 12.3 Influences on Curriculum Documents3pc -- 12.4 Conclusion3pc -- References -- 13 Supporting Mathematical Learning Processes by Means of Mathematics Conferences and Mathematics Language Tools -- 13.1 The Santa Claus Problem3pc -- 13.2 The Guiding Principle of Progressive Mathematisation3pc -- 13.3 Using Mathematics Conferences3pc -- 13.3.1 Learning to Subtract in the Number Domain up to 10003pc -- 13.3.2 Task-Related Exchange with the Help of Mathematics Conferences3pc -- 13.3.3 Tools for Organising Mathematics Conferences3pc -- 13.4 Learning to Describe and Explain by Using Mathematics Language Tools3pc -- 13.4.1 Mathematics, More Than Calculating3pc -- 13.4.2 Sums of Consecutive Natural Numbers3pc -- 13.4.3 Mathematics Language Tools3pc -- 13.5 Numbers Can Be Realistic Too3pc -- References -- 14 Reinventing Realistic Mathematics Education at Berkeley-Emergence and Development of a Course for Pre-service Teachers -- 14.1 Reinventing Realistic Mathematics Education at Tel Aviv University: Dor's Story3pc -- 14.2 Meanwhile, in New York City: Betina's Story3pc -- 14.2.1 At the Graduate Center of City University of New York3pc -- 14.2.2 Mathematics in the City: Learning and Practicing Realistic Mathematics Education3pc -- 14.2.3 At Brooklyn College3pc -- 14.3 Reinventing Algebra Brick by Brick: A Graduate Level Pre-service Mathematics Teaching Course3pc -- 14.3.1 Paradigmatic Didactical-Mathematical Problematic Situations3pc -- 14.3.2 The 'Brick Pyramid' Problem3pc -- 14.3.3 Reinventing Algebra by Thinking Aloud Together About the Brick Pyramid and Beyond3pc. , 14.4 An Undergraduate Course for Pre-service Mathematics Teachers3pc.

Weitere Ausg.: Print version: van den Heuvel-Panhuizen, Marja International Reflections on the Netherlands Didactics of Mathematics Cham : Springer International Publishing AG,c2019 ISBN 9783030202224

Sprache: Englisch

Schlagwort(e): Electronic books.

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Umfang: XVI, 410 p. 93 illus. , online resource.

ISBN: 9783319933726

Serie: Lecture Notes in Computer Science, 10899

Inhalt: This book constitutes the proceedings of the 11th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2018, held in Washington, DC, USA, in July 2018. The total of 27 short and 18 full papers presented in this volume was carefully reviewed and selected from 85 submissions. The contributions were organized in topical sections named: advances in sociocultural and behavioral process modeling; information, systems, and network science; applications for health and well-being; military and intelligence applications; cybersecurity.

Anmerkung: Advances in Sociocultural & Behavioral Process Modeling -- Multi-Scale Resolution of Cognitive Architectures: A Paradigm for Simulating Minds and Society -- Detecting Betrayers in On-line Environments Using Active Indicators -- Forecasting Gang Homicides with Multi-level Multi-task Learning -- Feature Selection of Post-Graduation Income of College Students in the United States -- From Language to Location Using Multiple Instance Neural Networks -- Detecting Agreement and Disagreement in Political Debates -- Tipping Points for Norm Change in Human Cultures -- Model Co-Creation from a Modeler’s Perspective: Lessons Learned from the Collaboration between Ethnographers and Modelers -- Multi-Agent Accumulator-Based Decision-Making Model of Incivility (MADI) -- Legislative Voting Dynamics in Ukraine -- Stop Words Are Not “Nothing”: German Modal Particles and Public Engagement in Social Media -- Beaten Up on Twitter?: Exploring Fake News and Satirical Responses during Marvel’s Black Panther Movie Event -- #metoo through the Lens of Social Media -- Information, Systems, and Network Science -- Similar but Different: Exploiting Users' Congruity for Recommendation Systems -- Mining Help Intent on Twitter during Disasters via Transfer Learning with Sparse Coding -- People2Vec: Learning Latent Representations of Users using Their Social-Media Activities -- Finding Organizational Accounts Based on Structural and Behavioral Factors on Twitter -- A study of how opinion sharing affects emergency evacuation -- Fine-Scale Prediction of People’s Home Location using Social Media Footprints -- Formal Organizations, Informal Networks, and Work Flow: An Agent-Based Model -- Aspect Level Sentiment Classification with Attention-over-Attention Neural Net-works -- Analyzing Social Bots and their Coordination during Natural Disasters -- Sentiment dynamics of The Chronicles of Narnia and their ranking -- Sign Prediction in Signed Social Networks Using Inverse Squared Metric -- Detecting and Characterizing Bot-Like Behavior on Twitter -- Initializing Agent-based Models with Clustering Archetypes -- Applications for Health and Well-being -- Predicting Alcoholism Recovery from Twitter -- The Portrayal of Quit Emotions: Content-sensitive Analysis of Peer Interactions in an Online Community for Smoking Cessation -- Digilego: A Standardized Analytics-driven Consumer-oriented Connected Health Framework -- Pain Town, an Agent-Based Model of Opioid Use Trajectories in a Small Community -- Assessing Target Audiences of Digital Public Health Campaigns: A Computational Approach -- Evaluating Semantic Similarity for Adverse Drug Event Narratives -- Military and Intelligence Applications Framing Shifts of the Ukraine Conflict in pro-Russian News Media -- Turning Narrative Descriptions of Individual Behavior into Network Visualization and Analysis: Example of Terrorist Group Dynamics -- Terrorist Network Monitoring with Identifying Code. -Implicit Terrorist Networks: A Two-Mode Social Network Analysis of Terrorism in India -- Complex Networks for Terrorist Target Prediction -- Cybersecurity -- Searching for Unknown Unknowns: Unsupervised Bot Detection to Defeat an Adaptive Adversary -- Using Random String Classification to Filter and Annotate Automated Accounts -- Understanding Cyber Attack Behaviors with Sentiment Information on Social Media -- Social Cyber-Security -- A Computational Model of Cyber Situational Awareness -- Assessment of Group Dynamics During Cyber Crime Through Temporal Network Topology -- Addendum -- An Agent-Based Model for False Belief Tasks: Belief Representation Systematic Approach (BRSA). .

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Weitere Ausg.: Printed edition: ISBN 9783319933719

Sprache: Englisch

Fachgebiete: Informatik

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DOI: 10.1007/978-3-319-93372-6

URL: http://dx.doi.org/10.1007/978-3-319-93372-6

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Umfang: XIII, 654 p. 413 illus., 222 illus. in color. , online resource.

Ausgabe: 1st ed. 2020.

ISBN: 9789811536076

Serie: Algorithms for Intelligent Systems,

Inhalt: This book gathers outstanding research papers presented at the International Joint Conference on Computational Intelligence (IJCCI 2019), held at the University of Liberal Arts Bangladesh (ULAB), Dhaka, on 25-26 October 2019 and jointly organized by the University of Liberal Arts Bangladesh (ULAB), Bangladesh; Jahangirnagar University (JU), Bangladesh; and South Asian University (SAU), India. These proceedings present novel contributions in the areas of computational intelligence, and offer valuable reference material for advanced research. The topics covered include collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.

Anmerkung: CerebLearn: Biologically Motivated Learning Rule for Artificial Feedforward Neural Networks -- Conceptual Content in Deep Convolutional Neural Networks: An analysis into Multi-faceted Properties of Neurons -- Lexicon-free Bengali Automatic Speech Recognition System -- Automated Tax Return Verification with Blockchain Technology -- Voice Enabled Intelligent IDE in Cloud -- Recognition and Classification of Fruit Diseases based on the Decomposition of Color Wavelet and Higher Order Statistical Texture Features -- Diabetes Mellitus Risk Prediction using Artificial Neural Network -- IoT-Based Smart Agriculture Monitoring System with Double-Tier Data Storage Facility -- Bangla Phoneme Recognition: Probabilistic Approach -- EEG Motor Signal Analysis Based Enhanced Motor Activity Recognition Using Optimal Denoising Algorithm -- Automatic Missing-child Recovery System using Eigenfaces -- Prediction of Financial Distress in Bangladesh's Banking Sector Using Data Mining and Machine Learning Technique -- Pedestrian Age and Gender Identification from Far View Images Using Convolutional Neural Network -- Handwritten Numeral Superposition to Printed Form Using Convolutional Auto-encoder and Recognition Using Convolutional Neural Network -- Chemical Reaction Optimization for Mobile Robot Path Planning -- An Automated Wireless Irrigation System by Using Moisture Sensor and DTMF Technology -- Human Age Prediction from Facial Image Using Transfer Learning in Deep Convolutional Neural Networks -- Semantic Segmentation of Retinal Blood Vessel via Multi-Scale Convolutional Neural Network -- Drug Protein Interaction Network Detection and Analysis of Cardiovascular Disease Related Genes: A Bioinformatics Approach -- An Approach for Detecting Heart Rate Analyzing QRS Complex in Noise and Saturation Filtered ECG Signal -- Identification of Genetic Links of Thyroid Cancer to the Neurodegenerative and Chronic Diseases Progression: Insights from Systems Biology Approach -- DNA Motif Discovery using a Hybrid Algorithm -- A Study on Software Defined Radio using USRP B200 -- Sources and Impact of Uncertainty on Rule-based Decision Making Approaches -- A Faster Decoding Technique for Huffman Codes Using Adjacent Distance Array -- A Closer Look into Paintings' Style using Convolutional Neural Network with Transfer Learning -- How Can a Robot Calculate the Level of Visual Focus of Humans Attention -- A Computer Vision Approach for Jackfruit Disease Recognition -- A Novel Hybrid Swarm Intelligence Algorithm Combining Modified Artificial Bee Colony and Firefly Algorithms: Performance Evaluation on Continuous Function Optimization Problems -- Prediction of DNA Binding Protein from Profile Based Hidden Markov Model Feature -- A Subword Level Language Model for Bangla Language -- Sentiment Analysis Based on Users' Emotional Reactions about Ride-sharing Services on Facebook and Twitter -- An SDN-enabled IoT Architecture with Fog Computing and Edge Encryption Support -- Upgrading YouTube Video Search by Generating Tags Automatically through Semantic Analysis of Contextual Data -- IoT based Smart Security Service Provisioning using Voice Controlled Door Locking System -- A Novel Hybrid Machine Learning Model To Predict Diabetes Mellitus -- An Optimized Pruning Technique for Handling Uncertainty in Decision Making Process -- Design Exploration of LH-CAM with Updating Mechanism -- Computational Techniques for Structure Preserving Model Reduction of Constrain Dynamical Models -- A Digital Platform Design for Supply Chain of Existing Fish Market in Bangladesh -- End to End Optical Character Recognition Using Sythetic Dataset Generator for Noisy Conditions -- Unsupervised Pretraining and Transfer Learning Based Bangla Sign Language Recognition -- Facilitating Hard-to-Defeat Car AI using Flood-fill Algorithm -- A Novel Method for Ghost Removal in High Dynamic Range Images -- Efficient Graph Search Algorithm using Minimum Spanning Tree based on Clustering -- IoT based Household Water Quality Monitoring and Contamination Detection System using Wireless Sensor -- DiChokro - An Anti Stealing System for Two Wheelers -- Nur-A-Alam Shiddiki, Lamia Alam and Mohammed Moshiul Hoque. Developing a Fuzzy Features based Online Bengali Handwritten Word Recognition System -- Automatic Summarization of Scientific Articles from Biomedical Domain -- Bringing a Change in Digital Mobile Banking through Distributed Technology -- Internal Abnormalities Detection of Human Body Analyzing Skin Images using Convolutional Neural Network -- Orchestration based Task Offloading for Mobile Edge Computing in Small-cell Networks -- DEB: A Delay and Energy based Routing Protocol for Cognitive Radio Ad-hoc Networks.

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Weitere Ausg.: Printed edition: ISBN 9789811536069

Weitere Ausg.: Printed edition: ISBN 9789811536083

Weitere Ausg.: Printed edition: ISBN 9789811536090

Sprache: Englisch

DOI: 10.1007/978-981-15-3607-6

URL: https://doi.org/10.1007/978-981-15-3607-6

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Umfang: XI, 149 p. 66 illus. , online resource.

ISBN: 9783662535806

Serie: Lecture Notes in Computer Science, 9990

Inhalt: These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-fifth issue contains 8 carefully selected and revised contributions.

Anmerkung: High-level model for the design of KPIs for Smart Cities systems,- Implementation of business processes in Smart Cities technology -- Designing aggregate KPIs as a method of implementing decision-making processes in the management of Smart Cities -- Designing aggregate KPIs as a method of implementing decision-making processes in the management of Smart Cities -- Smart Cities system design method based on Case Based Reasoning -- Model of an integration bus of data and ontologies of Smart Cities processes Ontology of the design pattern language for Smart Cities systems -- Text Classification Using “Anti”-Bayesian Quantile Statistics-based Classifiers -- Two Novel Techniques to Improve MDL-based Semi-Supervised Classification of Time Series. .

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Weitere Ausg.: Printed edition: ISBN 9783662535790

Sprache: Englisch

Schlagwort(e): Konferenzschrift

DOI: 10.1007/978-3-662-53580-6

URL: http://dx.doi.org/10.1007/978-3-662-53580-6

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Umfang: 1 online resource (419 pages)

ISBN: 9783030985813

Serie: Lecture Notes in Business Information Processing Ser. ; v.433

Anmerkung: Intro -- Preface -- Organization -- Contents -- XES 2.0 Workshop and Survey -- Rethinking the Input for Process Mining: Insights from the XES Survey and Workshop -- 1 Introduction -- 2 XES Standard: A Brief Overview -- 3 Survey Design and Insights -- 4 Adding Context: Reflections from the XES 2.0 Workshop -- 5 Conclusion -- References -- EdbA 2021: 2nd International Workshop on Event Data and Behavioral Analytics -- Second International Workshop on Event Data and Behavioral Analytics (EdbA'21) -- Organization -- Workshop Chairs -- Program Committee -- Probability Estimation of Uncertain Process Trace Realizations -- 1 Introduction -- 2 Related Work -- 3 Running Example -- 4 Preliminaries -- 5 Method -- 6 Validation of Probability Estimates -- 7 Conclusion -- References -- Visualizing Trace Variants from Partially Ordered Event Data -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Visualizing Trace Variants -- 4.1 Approach -- 4.2 Formal Guarantees -- 4.3 Limitations -- 4.4 Implementation -- 5 Evaluation -- 6 Conclusion -- References -- Analyzing Multi-level BOM-Structured Event Data -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Methods -- 4.1 Analysis Methodology -- 4.2 M2BOM-Structured Assembly Processes -- 5 Case Study -- 6 Conclusion -- References -- Linac: A Smart Environment Simulator of Human Activities -- 1 Introduction -- 2 Existing Solutions -- 3 Proposed Simulation Solution -- 3.1 Configuration of the Smart Environment -- 3.2 Configuration of the Agents' Behavior - AIL Language -- 3.3 Simulation Execution -- 3.4 Clock Simulation -- 3.5 MQTT Output -- 4 Implementation -- 5 Evaluation -- 5.1 Configuration -- 5.2 Results -- 6 Conclusions and Future Works -- References -- Root Cause Analysis in Process Mining with Probabilistic Temporal Logic -- 1 Introduction -- 2 Related Work -- 3 The AITIA-PM Algorithm. , 3.1 Background -- 3.2 Algorithmic Procedure -- 4 Demonstration -- 5 Conclusion -- References -- xPM: A Framework for Process Mining with Exogenous Data -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 A Framework for Process Mining with Exogenous Data -- 4.1 Linking -- 4.2 Slicing -- 4.3 Transformation -- 4.4 Discovery -- 4.5 Enhancing -- 5 Evaluation -- 5.1 Procedure -- 5.2 Quality Measures -- 5.3 Event Logs and Exogenous Data -- 5.4 Results and Discussion -- 6 Conclusion -- References -- A Bridging Model for Process Mining and IoT -- 1 Introduction -- 2 Background -- 2.1 IoT Ontologies -- 2.2 Business Process Context Modelling -- 3 Conceptual Ambiguity in IoT and PM -- 3.1 IoT Data -- 3.2 Context in PM vs Context in IoT -- 3.3 Process Event vs IoT Event -- 4 Connecting IoT and Process Mining: A Conceptual Model -- 5 Use Case Validation -- 6 Related Work -- 7 Conclusion -- References -- ML4PM 2021: 2nd International Workshop in Leveraging Machine Learning for Process Mining -- 2nd International Workshop in Leveraging Machine Learning for Process Mining (ML4PM 2021) -- Organization -- Workshop Chairs -- Program Committee -- Additional Reviewers -- Exploiting Instance Graphs and Graph Neural Networks for Next Activity Prediction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Building Instance Graphs -- 3.2 Data Preprocessing -- 3.3 Deep Graph Convolutional Neural Network -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusions and Future Works -- References -- Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis -- 1 Introduction -- 2 Related Work -- 3 A Framework for Assessing the Generalisation Capacity of RNNs -- 3.1 The Resampling Procedure -- 3.2 Metrics -- 4 Experimental Evaluation -- 4.1 Process Models -- 4.2 Hyperparameter Search -- 4.3 Results -- 5 Discussion. , 6 Conclusion and Future Work -- References -- Remaining Time Prediction for Processes with Inter-case Dynamics -- 1 Introduction -- 2 Preliminaries and Related Work -- 2.1 Related Work -- 2.2 RTM Background -- 2.3 Performance Spectrum with Error Progression -- 3 Approach -- 3.1 Detecting Uncertain Segments -- 3.2 Identifying Inter-case Dynamics in Uncertain Segments -- 3.3 Inter-case Feature Creation -- 3.4 Predicting the Next Segment -- 3.5 Predicting Waiting Time -- 4 Evaluation -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusion -- References -- Event Log Sampling for Predictive Monitoring -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Proposed Sampling Methods -- 5 Evaluation -- 5.1 Event Logs -- 5.2 Implementation -- 5.3 Evaluation Setting -- 5.4 Experimental Results -- 6 Discussion -- 7 Conclusion -- References -- Active Anomaly Detection for Key Item Selection in Process Auditing -- 1 Introduction -- 2 Related Work -- 2.1 Anomaly Detection -- 2.2 Active Anomaly Detection -- 2.3 Trace Visualisation -- 3 Active Selection Approach -- 3.1 Step One: Encode Process Data -- 3.2 Step Two: Assign Anomaly Score -- 3.3 Step Three: Actively Label Exceptions -- 4 Evaluation -- 4.1 Step One: Encode Process Data -- 4.2 Step Two: Assign Anomaly Score -- 4.3 Step Three: Actively Label Exceptions -- 4.4 Performance Results -- 5 Discussion -- 5.1 Cycle One -- 5.2 Cycle Two -- 5.3 Cycle Three -- 6 Limitations -- 7 Conclusion and Future Work -- References -- Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach -- 1 Introduction -- 2 Background and Related Work -- 2.1 Predictive Process Monitoring -- 2.2 Prescriptive Process Monitoring -- 2.3 Causal Inference -- 3 Approach -- 3.1 Log Preprocessing -- 3.2 Predictive Model -- 3.3 Causal Model -- 3.4 Resource Allocator -- 4 Evaluation -- 4.1 Dataset. , 4.2 Experiment Setup -- 4.3 Results -- 4.4 Threats to Validity -- 5 Conclusion -- References -- Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring -- 1 Introduction -- 2 Preliminaries -- 3 Explainability in OOPPM -- 3.1 Explainability Through Interpretability and Faithfulness -- 3.2 Logit Leaf Model -- 3.3 Generalized Logistic Rule Model -- 4 Experimental Evaluation -- 4.1 Benchmark Models -- 4.2 Event Logs -- 4.3 Implementation -- 4.4 Quantitative Metrics Results -- 5 Conclusion -- References -- SA4PM 2021: 2nd International Workshop on Streaming Analytics for Process Mining -- 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) -- Organization -- Workshop Chairs -- Program Committee -- Online Prediction of Aggregated Retailer Consumer Behaviour -- 1 Introduction -- 2 Framework -- 2.1 Features -- 2.2 Clustering -- 2.3 Training -- 2.4 Predicting -- 3 Experimental Evaluation -- 3.1 Experimental Setup -- 3.2 Results -- 4 Related Work -- 5 Conclusion and Future Work -- References -- PErrCas: Process Error Cascade Mining in Trace Streams -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Online Cascade Mining -- 4.1 Outlier Segment-Level Events -- 4.2 Error Cascade Construction -- 4.3 Cascade Patterns -- 5 Evaluation -- 5.1 Synthetic Data -- 5.2 Travel Reimbursement Process -- 6 Conclusion -- References -- Continuous Performance Evaluation for Business Process Outcome Monitoring -- 1 Introduction -- 2 Related Work -- 3 Continuous Prediction Evaluation Framework -- 4 Performance Evaluation Methods -- 4.1 Evaluating Performance Using a Local Timeline -- 4.2 Real-Time Model Performance -- 5 Experimental Analysis and Results -- 6 Conclusions -- References -- PQMI 2021: 6th International Workshop on Process Querying, Manipulation, and Intelligence. , 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2021) -- Organization -- Workshop Organizers -- Program Committee -- An Event Data Extraction Approach from SAP ERP for Process Mining -- 1 Introduction -- 2 Background -- 2.1 Object-Centric Event Logs -- 2.2 SAP: Entities and Relationships -- 3 Extracting Event Data from SAP ERP: Approach -- 3.1 Building Graphs of Relations -- 3.2 Extracting Object-Centric Event Logs -- 4 Extracting Event Data from SAP ERP: Tool -- 5 Assessment -- 5.1 Building a Graph of Relations -- 5.2 Extracting Object-Centric Event Logs -- 6 Related Work -- 7 Conclusion -- References -- Towards a Natural Language Conversational Interface for Process Mining -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Pre-processing and Tagging -- 3.2 Semantic Parsing -- 3.3 PM Tool Interface Mapping -- 4 Sample Questions -- 5 Proof of Concept -- 6 Conclusions and Future Work -- References -- On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization -- 1 Introduction -- 2 Related Work -- 2.1 Generalization Metric -- 2.2 Adversarial System Variant Approximation -- 3 Notations -- 4 Problem Statement -- 5 Experimental Setup -- 5.1 Sampling Parameter -- 5.2 Variant Log Size -- 5.3 Biased Variant Logs -- 6 Results -- 6.1 Sampling Parameter Results -- 6.2 Variant Log Size Results -- 6.3 Biased Variant Log Results -- 7 Conclusion -- References -- PODS4H 2021: 4th International Workshop on Process-Oriented Data Science for Healthcare -- Fourth International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) -- Organization -- Workshop Chairs -- Program Committee -- Verifying Guideline Compliance in Clinical Treatment Using Multi-perspective Conformance Checking: A Case Study -- 1 Introduction -- 2 Background. , 3 Research Method.

Weitere Ausg.: Print version: Munoz-Gama, Jorge Process Mining Workshops Cham : Springer International Publishing AG,c2022 ISBN 9783030985806

Sprache: Englisch

Schlagwort(e): Electronic books. ; Electronic books ; Electronic books

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Umfang: XXVIII, 688 p. 153 illus. , online resource.

ISBN: 9783319181172

Serie: Lecture Notes in Computer Science, 9042

Inhalt: The two volumes LNCS 9041 and 9042 constitute the proceedings of the 16th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2015, held in Cairo, Egypt, in April 2015. The total of 95 full papers presented was carefully reviewed and selected from 329 submissions. They were organized in topical sections on grammar formalisms and lexical resources; morphology and chunking; syntax and parsing; anaphora resolution and word sense disambiguation; semantics and dialogue; machine translation and multilingualism; sentiment analysis and emotion detection; opinion mining and social network analysis; natural language generation and text summarization; information retrieval, question answering, and information extraction; text classification; speech processing; and applications.

Anmerkung: Sentiment Analysis and Emotion Detection -- The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis -- Building Large Arabic Multi-domain Resources for Sentiment Analysis -- Learning Ranked Sentiment Lexicons -- Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning -- Trending Sentiment-Topic Detection on Twitter -- EmoTwitter - A Fine-Grained Visualization System for Identifying Enduring Sentiments in Tweets -- Feature Selection for Twitter Sentiment Analysis: An Experimental Study -- An Iterative Emotion Classification Approach for Microblogs -- Aspect-Based Sentiment Analysis Using Tree Kernel Based Relation Extraction -- Text Integrity Assessment: Sentiment Profile vs Rhetoric Structure -- Sentiment Classification with Graph Sparsity Regularization -- Detecting Emotion Stimuli in Emotion-Bearing Sentences -- Sentiment-Bearing New Words Mining: Exploiting Emoticons and Latent Polarities -- Identifying Temporal Information and Tracking Sentiment in Cancer Patients’ Interviews -- Using Stylometric Features for Sentiment Classification -- Opinion Mining and Social Network Analysis -- Automated Linguistic Personalization of Targeted Marketing Messages Mining User-Generated Text on Social Media -- Inferring Aspect-Specific Opinion Structure in Product Reviews Using Co-training -- Summarizing Customer Reviews through Aspects and Contexts -- An Approach for Intention Mining of Complex Comparative Opinion Why Type Questions Asked on Product Review Sites -- TRUPI: Twitter Recommendation Based on Users’ Personal Interests -- Detection of Opinion Spam with Character n-grams -- Content-Based Recommender System Enriched with Wordnet Synsets -- Active Learning Based Weak Supervision for Textual Survey Response Classification -- Detecting and Disambiguating Locations Mentioned in Twitter Messages -- Natural Language Generation and Text Summarization Satisfying Poetry Properties Using Constraint Handling Rules -- A Multi-strategy Approach for Lexicalizing Linked Open Data -- A Dialogue System for Telugu, a Resource-Poor Language -- Anti-Summaries: Enhancing Graph-Based Techniques for Summary Extraction with Sentiment Polarity -- A Two-Level Keyphrase Extraction Approach -- Information Retrieval, Question Answering, and Information Extraction Conceptual Search for Arabic Web Content -- Experiments with Query Expansion for Entity Finding -- Mixed Language Arabic-English Information Retrieval -- Improving Cross Language Information Retrieval Using Corpus Based Query Suggestion Approach -- Search Personalization via Aggregation of Multidimensional Evidence About User Interests -- Question Analysis for a Closed Domain Question Answering System -- Information Extraction with Active Learning: A Case Study in Legal Text -- Text Classification -- Term Network Approach for Transductive Classification -- Calculation of Textual Similarity Using Semantic Relatedness Functions -- Confidence Measure for Czech Document Classification -- An Approach to Tweets Categorization by Using Machine Learning Classifiers in Oil Business -- Speech Processing -- Long-Distance Continuous Space Language Modeling for Speech Recognition -- A Supervised Phrase Selection Strategy for Phonetically Balanced Standard Yoruba Corpus -- Semantic Role Labeling of Speech Transcripts -- Latent Topic Model Based Representations for a Robust Theme Identification of Highly Imperfect Automatic Transcriptions -- Probabilistic Approach for Detection of Vocal Pathologies in the Arabic Speech -- Applications -- Clustering Relevant Terms and Identifying Types of Statements in Clinical Records -- Medical Entities Tagging Using Distant Learning -- Identification of Original Document by Using Textual Similarities -- Kalema: Digitizing Arabic Content for Accessibility Purposes Using Crowdsourcing -- An Enhanced Technique for Offline Arabic Handwritten Words Segmentation.

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Sprache: Englisch

Schlagwort(e): Konferenzschrift ; Konferenzschrift

DOI: 10.1007/978-3-319-18117-2

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Umfang: 1 online resource (604 p.)

ISBN: 1-281-78948-8 , 9786611789480 , 0-08-086737-5

Serie: Advances in psychology ; 83

Inhalt: This collection of 33 papers represents the most current thinking andresearch on the study of cognitive processing in bilingual individuals. Thecontributors include well-known figures in the field and promising newscholars, representing four continents and work in dozens of languages.Instead of the social, political, or educational implications ofbilingualism, the focus is on how bilingual people (mostly adults) thinkand process language.

Anmerkung: Description based upon print version of record. , Front Cover; Cognitive Processing in Bilinguals; Copyright Page; Preface; Table of Contents; PART I: WHO ARE THE BILINGUALS?; Chapter 1. Bilingualism: Not the Exception Any More; Chapter 2. History of Bilingualism Research in Cognitive Psychology; Chapter 3. Another View of Bilingualism; Chapter 4.The Role of Language Background in Cognitive Processing; PART II: BILINGUAL MEMORY; Chapter 5. Bilingual Memory Revisited; Chapter 6. Cognitive Psychology and Second-language Processing: The Role of Short-term Memory; Chapter 7. Working Memory Capacity as a Constraint on L2 Development , Chapter 8. Linguistic Relativity Revisited: The Bilingual Word-length Effect in Working Memory during Counting, Remembering Numbers, and Mental CalculationChapter 9. The Representation of Translation Equivalents in Bilingual Memory; Chapter 10. The Influence of Semantic Cues in Learning among Bilinguals at Different Levels of Proficiency in English; Chapter 11. Lexical and Conceptual Memory in Fluent and Nonfluent Bilinguals; PART III: LEXICAL ACCESS AND WORD RECOGNITION IN BILINGUALS; Chapter 12. On the Representation and Use of Language Information in Bilinguals , Chapter 13. Orthographic and Lexical Constraints in Bilingual Word RecognitionChapter 14. Phonological Processing in Bilingual Word Recognition; Chapter 15. Lexical Processing in Bilingual or Multilingual Speakers; Chapter 16. Language as a Factor in the Identification of Ordinary Words and Number Words; Chapter 17. Word Recognition in Second-language Reading; Chapter 18. A Functional View of Bilingual Lexicosemantic Organization; PART IV: THE ROLE OF SYNTAX IN BILINGUAL COGNITIVE PROCESSING; Chapter 19. Changes in Sentence Processing as Second Language Proficiency Increases , Chapter 20. On-line Integration of Grammatical Information in a Second LanguageChapter 21. Non-native Features of Near-native Speakers: On the Ultimate Attainment of Childhood L2 Learners; PART V: LANGUAGE TRANSFER AND CODE-SWITCHING IN BILINGUALS; Chapter 22. Competition and Transfer in Second Language Learning; Chapter 23. An Overview of Cross-language Transfer in Bilingual Reading; Chapter 24. Auditory and Visual Speech Perception in Alphabetic and Nonalphabetic Chinese-Dutch Bilinguals , Chapter 25. A Study of Interlingual and Intralingual Stroop Effect in Three Different Scripts: Logograph, Syllabary, and AlphabetChapter 26. Code-switching and Language Dominance; Chapter 27. Cultural Influences of a Reading Text on the Concept Formation of Second-language Learners of Two Nigerian Ethnic Groups; PART VI: METALINGUISTIC SKILLS IN BILINGUALS; Chapter 28. Language Awareness and Language Separation in the Young Bilingual Child; Chapter 29. Selective Attention in Cognitive Processing: The Bilingual Edge; Chapter 30. Translation Ability: A Natural Bilingual and Metalinguistic Skill , Chapter 31. Metalinguistic Awareness in Second- and Third-language Learning , English

Weitere Ausg.: ISBN 0-444-88922-1

Sprache: Englisch

UID:

Umfang: 1 online resource (253 pages)

Ausgabe: First edition.

ISBN: 9780443217593

Anmerkung: Front Cover -- Intelligent Algorithms -- Copyright Page -- Contents -- About the authors -- Preface -- Introduction -- 1 Application of intelligent algorithms in the field of computer vision -- 1.1 Precise capture of translucent visual effects: sampling algorithm based on pixel-level multiobjective optimization -- 1.1.1 Overview of Research Progress -- 1.1.2 Scientific principles -- 1.1.2.1 Problem description -- 1.1.2.2 A multiobjective image matting algorithm based on pixel-level global sampling -- 1.1.2.2.1 Pixel-level discrete multiobjective sampling strategy -- 1.1.2.2.2 Fast discrete multiobjective optimization algorithm -- 1.1.2.3 Experimental results and discussion -- 1.1.2.3.1 Performance verification experiment of the pixel-level multiobjective global sampling algorithm -- 1.1.2.3.2 Performance verification experiment of the pixel-level multiobjective global sampling-based matting algorithm -- 1.1.3 Summary -- 1.2 Strong collaboration of fuzzy logic and evolutionary computing -- 1.2.1 Overview of research progress -- 1.2.2 Scientific principles -- 1.2.2.1 Problem description -- 1.2.2.2 Multiobjective collaborative optimization image matting algorithm based on fuzzy multicriteria evaluation and decom... -- 1.2.2.2.1 Fuzzy multicriteria pixel pair evaluation method -- 1.2.2.2.2 Multiobjective collaborative optimization algorithm based on decomposition -- 1.2.2.3 Experimental results and discussion -- 1.2.2.3.1 Multiobjective optimization algorithm selection experiment -- 1.2.2.3.2 Fuzzy multicriteria pixel pair evaluation accuracy experiment -- 1.2.2.3.3 Comparative experiment on optimization performance of multiobjective collaborative optimization algorithm based o... -- 1.2.2.3.4 Multiobjective collaborative optimization method for image matting based on fuzzy multicriteria evaluation and de... -- 1.2.3 Summary. , 1.3 Another masterpiece when medicine meets artificial intelligence -- 1.3.1 Overview of research progress -- 1.3.2 Scientific principles -- 1.3.2.1 Blood vessel segmentation algorithm based on hierarchical matting model -- 1.3.2.1.1 Image segmentation -- 1.3.2.1.2 Extraction of vascular skeleton -- 1.3.2.1.3 Hierarchical matting model -- 1.3.2.1.4 Stratifying the unknown pixels -- 1.3.2.1.5 Correlation function -- 1.3.2.1.6 Hierarchical update -- 1.3.2.2 Experimental analysis -- 1.3.3 Summary -- 1.4 "Deep learning+image matting enhancement" trial with great effectiveness: pedestrian classification in infrared images -- 1.4.1 Overview of research progress -- 1.4.2 Scientific principles -- 1.4.2.1 Pedestrian classification algorithm based on automatic image matting and enhancement for infrared images -- 1.4.2.2 Preprocessing algorithm for infrared pedestrian images based on automatic image matting -- 1.4.2.2.1 Automatic algorithm for generating pedestrian trimap in infrared images -- 1.4.2.2.2 Far-infrared pedestrian extraction -- 1.4.2.2.3 Pedestrian classification algorithm based on depth infrared images using alpha mattes for segmentation -- 1.4.2.3 Experimental results and discussion -- 1.4.2.3.1 Classification performance verification experiment of pedestrian classification algorithm based on automatic imag... -- 1.4.2.3.2 Analysis of the performance improvement of pedestrian classification based on infrared image preprocessing using ... -- 1.4.2.3.3 Analysis of the impact of infrared image pedestrian preprocessing based on automatic image matting on the perform... -- 1.4.2.3.4 Comparison experiment on preprocessing effect of pedestrian detection in infrared images based on automatic image... -- 1.4.2.3.5 Limitations of infrared image pedestrian classification method based on automatic image matting -- 1.4.3 Summary -- References. , 2 Application of intelligent algorithms in the field of logistics planning -- 2.1 Overview of research progress -- 2.2 Scientific principles -- 2.2.1 Problem description -- 2.2.2 Problem analysis -- 2.2.3 Algorithm design -- 2.2.4 Algorithm analysis -- 2.2.5 Experimental analysis -- 2.3 Summary -- References -- 3 Application of intelligent algorithms in the field of software testing -- 3.1 How to solve excessive overhead of software testing-starting with the automated test case generation problem -- 3.1.1 Overview of research progress -- 3.1.2 Scientific principle -- 3.1.2.1 Problem description -- 3.1.2.2 Differential evolution based on test-case-path relationship matrix for automated test case generation -- 3.1.2.3 Experimental results and discussion -- 3.1.3 Summary -- 3.2 Effective natural language processing programs testing by random heuristic algorithm and scatter search strategy -- 3.2.1 Overview of research progress -- 3.2.2 Scientific principles -- 3.2.2.1 Problem description -- 3.2.2.2 Automated path coverage test case generation based on random heuristic algorithm with scatter search strategy -- 3.2.2.3 Experimental results and discussion -- 3.2.3 Summary -- References -- 4 Application of multiobjective optimization intelligence algorithms -- 4.1 Many-objective evolutionary algorithm based on pareto-adaptive reference points -- 4.1.1 Overview of research progress -- 4.1.2 Scientific principles -- 4.1.2.1 General framework -- 4.1.2.2 Environmental selection -- 4.1.2.2.1 Adaptive normalization -- 4.1.2.2.2 Estimation of shapes and update of the reference point -- 4.1.2.2.3 Fitness assignment -- 4.1.2.2.4 Classification by a hypercube -- 4.1.2.2.5 Select solutions one by one -- 4.1.2.3 Experimental analysis -- 4.1.2.4 Experimental settings -- 4.1.2.4.1 Population size and termination condition -- 4.1.2.4.2 Parameter settings. , 4.1.2.5 Experimental results on DTLZ test problems -- 4.1.2.6 Empirical findings for WFG and WFG−1 test problems -- 4.1.3 Summary -- 4.2 A powerful approach to configure software products- -- 4.2.1 Survey of advancements in research -- 4.2.2 Fundamental scientific concepts -- 4.2.2.1 Problem statements -- 4.2.2.1.1 The OSPS problems with soft constraints -- 4.2.2.2 MOEAs based on estimation of distribution -- 4.2.2.3 Integrating EoD into decomposition-based MOEAs -- 4.2.2.3.1 Normalization and estimation of ideal/nadir points -- 4.2.2.3.2 Reproduction operators -- 4.2.2.3.3 Updating subproblems -- 4.2.2.4 A new repair operator for the OSPS problem -- 4.2.2.5 Handling soft constraints -- 4.2.2.6 Experimental studies -- 4.2.2.6.1 Experimental settings -- 4.2.2.6.2 Performancee metric -- 4.2.2.6.3 Results on two-objective OSPS instances -- 4.2.2.6.4 Results on three-objective OSPS instances -- 4.2.2.6.5 Results in four-objective OSPS instances -- 4.2.2.7 Further discussions -- 4.2.3 Summary -- References -- 5 A new approach to intelligent algorithms for running time complexity analysis -- 5.1 Overview of research progress -- 5.1.1 Running time of (1,λ) evolutionary strategy -- 5.1.2 Running time of the evolutionary strategy and the covariance matrix adaptation evolutionary strategy -- 5.1.3 Running time of the improved covariance matrix adaptation evolutionary strategy -- 5.2 Scientific principle -- 5.2.1 Problem description -- 5.2.2 Problem modeling -- 5.2.3 Problem analysis -- 5.2.4 Estimation method -- 5.2.5 Experimental analysis: simulation of gain probability density distribution function -- 5.2.6 Experimental analysis: fitting of the average gain surface -- 5.3 Summary -- References -- Index -- Back Cover.

Weitere Ausg.: Print version: Huang, Han Intelligent Algorithms San Diego : Elsevier,c2024 ISBN 9780443217586

Sprache: Englisch