Kooperativer Bibliotheksverbund

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Format: 1 Online-Ressource (XIX, 636 Seiten) , Illustrationen, Diagramme

ISBN: 9783030008475

Series Statement: Lecture notes in computer science 11157

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-00846-8

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-00848-2

Language: English

Subjects: Computer Science

Keywords: Konzeptionelle Modellierung ; World Wide Web ; Informationssystem ; Konzeptionelle Modellierung ; Serviceorientierte Architektur ; Konzeptionelle Modellierung ; Business Intelligence ; Datenverwaltung ; Ontologie ; Konzeptionelle Modellierung ; Datenmodell ; Datenverwaltung ; Abfrage ; Konferenzschrift

DOI: 10.1007/978-3-030-00847-5

URL: Volltext  (URL des Erstveröffentlichers)

URL: Volltext  (lizenzpflichtig)

URL: Volltext

Author information: Du, Xiaoyong

Author information: Lee, Mong Li

UID:

Format: 1 Online-Ressource (x, 281 Seiten) , 108 Illustrationen, 81 in Farbe

ISBN: 9783031245213

Series Statement: Lecture notes in computer science 13614

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-24520-6

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-24522-0

Language: English

Subjects: Computer Science

Keywords: Konferenzschrift

DOI: 10.1007/978-3-031-24521-3

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (xxiii, 785 Seiten) , Illustrationen, Diagramme

ISBN: 9783030185794

Series Statement: Lecture notes in computer science 11447

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-18578-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-18580-0

Language: English

Keywords: Datenbanksystem ; Abfrage ; Data Mining ; World Wide Web ; Social Media ; Soziale Software ; Datenbanksystem ; Data Mining ; Konferenzschrift

DOI: 10.1007/978-3-030-18579-4

URL: Volltext  (URL des Erstveröffentlichers)

URL: Buchcover

UID:

Format: 1 Online-Ressource (xxiv, 817 Seiten) , Illustrationen, Diagramme

ISBN: 9783030185763

Series Statement: Lecture notes in computer science 11446

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-18575-6

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-18577-0

Language: English

Keywords: Datenbanksystem ; Abfrage ; Data Mining ; World Wide Web ; Social Media ; Soziale Software ; Datenbanksystem ; Data Mining ; Konferenzschrift

DOI: 10.1007/978-3-030-18576-3

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (xxi, 607 Seiten) , Illustrationen, Diagramme

ISBN: 9783030185909

Series Statement: Lecture notes in computer science 11448

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-18589-3

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-18591-6

Language: English

Subjects: Computer Science

Keywords: Datenbanksystem ; Abfrage ; Data Mining ; World Wide Web ; Social Media ; Soziale Software ; Datenbanksystem ; Data Mining ; Konferenzschrift

DOI: 10.1007/978-3-030-18590-9

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XX, 348 Seiten) , Illustrationen, Diagramme

ISBN: 9783030013912

Series Statement: Lecture notes in computer science 11158

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-01390-5

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-01392-9

Language: English

Subjects: Computer Science

Keywords: Konzeptionelle Modellierung ; World Wide Web ; Informationssystem ; Konferenzschrift

DOI: 10.1007/978-3-030-01391-2

URL: Volltext  (URL des Erstveröffentlichers)

URL: Buchcover

Author information: Lee, Mong Li

UID:

Format: 1 Online-Ressource (XII, 159 Seiten, 66 illus., 42 illus. in color)

ISBN: 9789811078477

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-10-7846-0

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-10-7848-4

Language: English

Subjects: Computer Science

DOI: 10.1007/978-981-10-7847-7

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: Online-Ressource (XX, 348 p. 97 illus, online resource)

ISBN: 9783030013912

Series Statement: Information Systems and Applications, incl. Internet/Web, and HCI 11158

Content: Keynotes -- Conceptual modeling studies -- Conceptual modeling studies II -- Ontological modeling -- Semi-structured data modeling -- Process modeling and management -- Spatio-temporal modeling -- Cloud-based modeling -- Schema and view modeling -- Languages and models -- NoSQL modeling -- Conceptual modeling for machine learning and reasoning -- Conceptual modeling for machine learning and reasoning II -- Applications of conceptual modeling.

Content: This book constitutes the refereed proceedings of five workshops symposia, held at the 37th International Conference on Conceptual Modeling, ER 2018, in Xi’an, China, in October 2018. The 42 papers promote and disseminate research on theories of concepts underlying conceptual modeling, methods and tools for developing and communicating conceptual models, techniques for transforming conceptual models into effective implementations, and the impact of conceptual modeling techniques on databases, business strategies and information systems. The following workshops are included in this volume: Emp-ER: Empirical Methods in Conceptual Modeling, MoBiD: Modeling and Management of Big Data, MREBA: Conceptual Modeling in Requirements and Business Analysis, QMMQ: Quality of Models and Models of Quality, SCME: Conceptual Modeling Education.

Additional Edition: ISBN 9783030013905

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-01390-5

Language: English

DOI: 10.1007/978-3-030-01391-2

URL: Volltext  (lizenzpflichtig)

URL: Volltext

URL: Cover

Author information: Lee, Mong Li

UID:

Format: 1 Online-Ressource (XXI, 607 p. 241 illus., 154 illus. in color)

ISBN: 9783030185909

Series Statement: Information Systems and Applications, incl. Internet/Web, and HCI 11448

Content: The 6th International Workshop on Big Data Management and Service (BDSM 2019) -- A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents -- UHRP Uncertainty-Based Pruning Method for Anonymized Data Linear Regression -- Meta-path based MiRNA-disease Association Prediction -- Medical Question Retrieval based on Siamese Neural Network and Transfer learning method -- An adaptive Kalman filter based Ocean Wave Prediction Model using Motion Reference Unit Data -- ASLM: Adaptive Single Layer Model for Learned Index -- SparseMAAC: Sparse Attention for Multi-Agent Reinforcement Learning -- The 4th International Workshop on Big Data Quality Management (BDQM 2019) -- Identifying Reference Relationship of Desktop Files Based on Access Logs -- Visualization of Photo Album: Selecting a Representative Photo of a Specific Event -- Data Quality Management in Institutional Research Output Data Center -- Generalized Bayesian Structure Learning from Noisy Datasets -- The Third International Workshop on Graph Data Management and Analysis (GDMA 2019) -- ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering -- Graph Based Aspect Extraction and Rating Classification of Customer Review Data -- Streaming Massive Electric Power Data Analysis Based on Spark Streaming -- Short Papers -- Deletion Robust k-Coverage Queries -- Episodic Memory Network with Self-Attention for Emotion Detection -- Detecting Suicidal Ideation with Data Protection in Online Communities -- Hierarchical Conceptual Labeling -- Anomaly Detection in Time-Evolving Attributed Networks -- A Multi-task Learning Framework for Automatic Early Detection of Alzheimer’s -- Top-k Spatial Keyword Query with Typicality and Semantics -- Align Reviews with Topics in Attention Network for Rating Prediction -- PSMSP: A Parallelized Sampling-based Approach for Mining Top-k Sequential Patterns in Database Graphs -- Value-Oriented Ranking of Online Reviews Based on Reviewer-influenced Graph -- Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder -- Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories -- Hyper2vec: Biased Random Walk for Hyper-Network Embedding -- Privacy-preserving and dynamic spatial range aggregation query processing in wireless sensor networks -- Adversarial Discriminative Denoising for Distant Supervision Relation Extraction -- Nonnegative Spectral Clustering for Large-Scale Semi-Supervised Learning -- Distributed PARAFAC Decomposition Method based on In-Memory Big Data System -- GPU-Accelerated Dynamic Graph Coloring -- Relevance-based Entity Embedding -- An Iterative Map-Trajectory Co-Optimisation Framework Based on Map-Matching and Map Update -- Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding -- AGREE: Attentive Tour Group Recommendation with Multi-Modal Data -- Random Decision DAG: An Entropy Based Compression Approach for Random Forest -- Generating Behavior Features for Cold-Start Spam Review Detection -- TCL: Tensor-CNN-LSTM for Travel Time Prediction with Sparse Trajectory Data -- A Semi-supervised Classification Approach for Multiple Time-varying Networks with Total Variation -- Multidimensional Skylines Over Streaming Data -- A domain adaptation approach for multistream classification -- Gradient Boosting Censored Regression for Winning Price Prediction in Real-Time Bidding -- Deep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction -- SemiSync: Semi-supervised Clustering by Synchronization -- Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors -- MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis -- Temporal-Spatial Recommendation for On-demand Cinemas -- Finding the key influences on the house price by Finite Mixture Model based on the real estate data in Changchun -- Semi-supervised Clustering with Deep Metric Learning -- Spatial Bottleneck Minimum Task Assignment with Time-delay -- A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data -- Hospitalization Behavior Prediction Based on Attention and Time Adjustment Factors in Bidirectional LSTM -- Modeling Item Category for Effective Recommendation -- Distributed Reachability Queries on Massive Graphs -- Edge-Based Shortest Path Caching in Road Networks -- Extracting Definitions and Hypernyms with a Two-Phase Framework -- Tag Recommendation by Word-Level Tag Sequence Modeling -- A New Statistics Collecting Method with Adaptive Strategy -- Word Sense Disambiguation with Massive Contextual Texts -- Learning DMEs from Positive and Negative Examples -- Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recognition -- DRGAN: A GAN-based Framework for Doctor Recommendation in Chinese On-line QA Communities -- Attention-based Abnormal-Aware Fusion Network for Radiology Report Generation -- LearningTour: A Machine Learning Approach for Tour Recommendation based on Users’ Historical Travel Experience -- TF-Miner: Topic-specific Facet Mining by Label Propagation -- Fast Raft Replication for Transactional Database Systems over Unreliable Networks -- Parallelizing Big De Bruijn Graph Traversal for Genome Assembly on GPU Clusters -- GScan: Exploiting Sequential Scans for Subgraph Matching -- SIMD Accelerates the Probe Phase of Star Joins in Main Memory Databases -- A Deep Recommendation Model Incorporating Adaptive Knowledge-based Representations -- BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation -- Spatiotemporal-Aware Region Recommendation with Deep Metric Learning -- On the Impact of the Length of Subword Vectors on Word Embeddings -- Using Dilated Residual Network to Model Distant Supervision Relation Extraction -- Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis -- A Sparse Matrix-based Join for SPARQL Query Processing -- Change Point Detection for Streaming High-Dimensional time series -- Demo Papers -- Distributed Query Engine for Multiple-Query Optimization over Data Stream -- Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case -- AgriKG: An Agricultural Knowledge Graph and Its Applications -- KGVis: An Interactive Visual Query Language for Knowledge Graphs -- OperaMiner: Extracting Character Relations from Opera Scripts using Deep Neural Networks -- GparMiner: A System to mine Graph Pattern Association Rules -- A Data Publishing System Based on Privacy Preservation -- Privacy as a Service: Publishing Data and Models -- Dynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction -- DHDSearch: A Framework for Batch Time Series Searching on MapReduce -- Bus Stop Refinement based on Hot Spot Extraction -- Adaptive Transaction Scheduling for Highly Contended Workloads -- IMOptimizer: An Online Interactive Parameter Optimization System based on Big Data -- Tutorial Papers -- Cohesive Subgraphs with Hierarchical Decomposition on Big Graphs -- Tracking User Behaviours: Laboratory-Based and In-The-Wild User S -- Mining Knowledge Graphs for Vision Tasks -- Enterprise Knowledge Graph From Specific Business Task to Enterprise Knowledge Management -- Knowledge Graph Data Management -- Deep learning for Healthcare Data Processing

Content: This book constitutes the workshop proceedings of the 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, held in Chiang Mai, Thailand, in April 2019. The 14 full papers presented were carefully selected and reviewed from 26 submissions to the three following workshops: the 6th International Workshop on Big Data Management and Service, BDMS 2019; the 4th International Workshop on Big Data Quality Management, BDQM 2019; and the Third International Workshop on Graph Data Management and Analysis, GDMA 2019. This volume also includes the short papers, demo papers, and tutorial papers of the main conference DASFAA 2019

Additional Edition: ISBN 9783030185893

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-18589-3

Language: English

DOI: 10.1007/978-3-030-18590-9

URL: lizenzpflichtig

UID:

Format: 1 Online-Ressource (XXIII, 785 p. 334 illus., 195 illus. in color)

ISBN: 9783030185794

Series Statement: Information Systems and Applications, incl. Internet/Web, and HCI 11447

Content: Machine Learning -- An Approach Based on Bayesian Networks for Query Selectivity Estimation -- An Exploration of Cross-Modal Retrieval for Unseen Concepts -- Continuous Patient-centric Sequence Generation via Sequentially Coupled Adversarial Learning -- DMMAM: A Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis -- Learning k-Occurrence Regular Expressions with Interleaving -- Learning from User Social Relation for Document Sentiment Classification -- Reinforcement Learning to Diversify Recommendations -- Retweeting Prediction using Matrix Factorization with Binomial Distribution and Contextual Information -- Sparse Gradient Compression for Distributed SGD -- STDR: A Deep Learning Method for Travel Time Estimation -- Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling -- Efficiently Mining Maximal Diverse Frequent Itemsets -- Privacy and Graph -- Efficient Local Search for Minimum Dominating Sets in Large Graphs -- Multi-level Graph Compression for Fast Reachability Detection -- Multiple Privacy Regimes Mechanism For Local Differential Privacy -- Privacy Preserving Elastic Stream Processing with Clouds using Homomorphic Encryption -- Select the Best for Me: Privacy-preserving Polynomial Evaluation Algorithm over Road Network -- Recommendation -- AdaCML: Adaptive Collaborative Metric Learning for Recommendation -- Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation -- Attention and Convolution Enhanced Memory Network for Sequential Recommendation -- Attention-based Neural Tag Recommender System -- Density Matrix based Preference Evolution Networks for E-commerce Recommendation -- Multi-Source Multi-Net Micro-Video Recommendation with Hidden Item Category Discovery -- Incorporating Task-oriented Representation in Text Classification -- Music Playlist Recommendation with Long Short-Term Memory -- Online Collaborative Filtering with Implicit Feedback -- Subspace Ensemble-based Neighbor User Searching for Neighborhood-based Collaborative Filtering -- Towards Both Local and Global Query Result Diversification -- Social Network -- Structured Spectral Clustering of PurTree Data -- Dynamic stochastic block model with scale-free characteristic for temporal complex networks -- In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs -- Local Experts Finding across Multiple Social Networks -- SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding -- User Intention-based Document Summarization on Heterogeneous Sentence Networks -- Spatial -- A Hierarchical Index Structure for Region-aware Spatial Keyword Search with Edit Distance Constraint -- Collective POI Querying Based on Multiple Keywords and User Preference -- DPSCAN: Structural Graph Clustering Based on Density Peaks -- Efficient Processing of Spatial Group Preference Queries -- Reverse-Auction-Based Competitive Order Assignment for Mobile Taxi-Hailing Systems -- Top-k Spatio-Topic Query on Social Media Data -- Spatio-temporal -- A Frequency-aware Spatio-Temporal Network for Traffic Flow Prediction -- Efficient Algorithms for Solving Aggregate Keyword Routing Problems -- Perceiving Topic Bubbles: Local Topic Detection in Spatio-temporal Tweet Stream -- Real-Time Route Planning and Online Order Dispatch for Bus-Booking Platforms -- STL: Online Detection of Taxi Trajectory Anomaly based on Spatial-Temporal Laws

Content: This two-volume set LNCS 11446 and LNCS 11447 constitutes the refereed proceedings of the 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, held in Chiang Mai, Thailand, in April 2019. The 92 full papers and 64 short papers were carefully selected from a total of 501 submissions. In addition, 13 demo papers and 6 tutorial papers are included. The full papers are organized in the following topics: big data; clustering and classification; crowdsourcing; data integration; embedding; graphs; knowledge graph; machine learning; privacy and graph; recommendation; social network; spatial; and spatio-temporal. The short papers, demo papers, and tutorial papers can be found in the volume LNCS 11448, which also includes the workshops of DASFAA 2019

Additional Edition: ISBN 9783030185787

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-18578-7

Language: English

DOI: 10.1007/978-3-030-18579-4

URL: lizenzpflichtig

URL: Cover