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  • 1
    Online Resource
    Online Resource
    Scalable uncertainty management : 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017 : proceedings (2017)
    Cham :Springer,
    Details
    UID:
    almafu_BV044529957
    Format: 1 Online-Ressource (XIX, 438 Seiten) : , Illustrationen, Diagramme.
    ISBN: 978-3-319-67582-4
    Series Statement: Lecture Notes in Computer Science 10564
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-67581-7
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Unsicherheit ; Datenbanksystem ; Problemlösen ; Künstliche Intelligenz ; Konferenzschrift ; Konferenzschrift
    DOI: 10.1007/978-3-319-67582-4
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
    URL: Inhaltstext
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  • 2
    Online Resource
    Online Resource
    Flexible Query Answering Systems 2015 : Proceedings of the 11th International Conference FQAS 2015, Cracow, Poland, October 26-28, 2015 (2016)
    Cham : Springer
    Details
    UID:
    b3kat_BV043211600
    Format: 1 Online-Ressource (X, 494 p. 128 illus., 64 illus. in color)
    ISBN: 9783319261546
    Series Statement: Advances in Intelligent Systems and Computing volume 400
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-26153-9
    Language: English
    Subjects: Computer Science
    RVK:
    ST 250
    Keywords: Informatik ; Künstliche Intelligenz ; Abfrage ; Konferenzschrift
    DOI: 10.1007/978-3-319-26154-6
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Abstract
    Author information: Kacprzyk, Janusz 1947-
    Author information: Yazıcı, Adnan 1962-
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  • 3
    Online Resource
    Online Resource
    NoSQL data models : trends and challenges (2018)
    London :ISTE Ltd. ;
    Details
    UID:
    almafu_9959328539602883
    Format: 1 online resource (278 pages)
    ISBN: 9781119544142 , 1119544149 , 9781119528227 , 1119528224 , 9781119544135 , 1119544130
    Series Statement: Computer engineering series: databases and big data set ; volume 1
    Content: The topic of NoSQL databases has recently emerged, to face the Big Data challenge, namely the ever increasing volume of data to be handled. It is now recognized that relational databases are not appropriate in this context, implying that new database models and techniques are needed. This book presents recent research works, covering the following basic aspects: semantic data management, graph databases, and big data management in cloud environments. The chapters in this book report on research about the evolution of basic concepts such as data models, query languages, and new challenges regarding implementation issues.
    Note: NoSQL languages and systems -- Distributed SPARQL query processing : a case study with Apache Spark -- Doing web data : from dataset recommendation to data linking -- Big data integration in cloud environments : requirements, solutions and challenges -- Querying RDF data : a multigraph-based approach -- Fuzzy preference queries to NoSQL graph databases -- Relevant filtering in a distributed content-based publish/subscribe system.
    Additional Edition: Print version: NoSQL data model. London : ISTE Ltd ; Hoboken, NJ : John Wiley & Sons, Inc., 2018 ISBN 1786303647
    Additional Edition: ISBN 9781786303646
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119528227
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119528227
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119528227
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  • 4
    Online Resource
    Online Resource
    Flexible Approaches in Data, Information and Knowledge Management (2014)
    Details
    UID:
    b3kat_BV041470928
    Format: 1 Online-Ressource (XII, 320 p.) , 56 illus
    ISBN: 9783319009544
    Series Statement: Studies in Computational Intelligence 497
    Note: This volume showcases contributions from internationally-known researchers in the field of information management. Most of the approaches presented here make use of fuzzy logic, introduced by L.A. Zadeh almost 50 years ago, which constitute a powerful tool to model and handle gradual concepts. What all of these contributions have in common is placing the user at the center of the information system, be it for helping him/her to query a data set, to handle imperfect information, or to discover useful knowledge from a massive collection of data. Researchers working in data and knowledge management will greatly benefit from this collection of up-to-date studies. This may be also an invaluable source of information for  postgraduate students interested in advanced information management techniques , Part I Bipolar preference queries -- Part II Ontology-based data access -- Part III Uncertain databases -- Part IV Flexible queries over nonstandard data -- Part V Fuzzy knowledge discovery and exploitation
    Language: English
    DOI: 10.1007/978-3-319-00954-4
    URL: Volltext
    URL: Inhaltsverzeichnis
    URL: Abstract
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  • 5
    Online Resource
    Online Resource
    NoSQL data model : trends and challenges (2018)
    London :ISTE ;
    Details
    UID:
    almahu_9949320206902882
    Format: 1 online resource (283 pages)
    ISBN: 9781119544135 (e-book)
    Additional Edition: Print version: NoSQL data model : trends and challenges. London : ISTE ; Hoboken, NJ : Wiley, c2018 ISBN 9781786303646
    Language: English
    Keywords: Electronic books.
    URL: Click to View
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    HU Berlin
  • 6
    Book
    Book
    Flexible approaches in data, information and knowledge management / (2014)
    Cham [u.a.] :Springer,
    Details
    UID:
    almahu_BV041425587
    Format: XII, 320 S. : , graph. Darst.
    ISBN: 978-3-319-00953-7
    Series Statement: Studies in computational intelligence 497
    Language: English
    Subjects: Computer Science
    RVK:
    ST 300
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  • 7
    Online Resource
    Online Resource
    Scalable Uncertainty Management : 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings (2017)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9947397810602882
    Format: XIX, 438 p. 57 illus. , online resource.
    ISBN: 9783319675824
    Series Statement: Lecture Notes in Computer Science, 10564
    Content: This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which was held in Granada, Spain, in October 2017.  The 24 full and 6 short papers presented in this volume were carefully reviewed and selected from 35 submissions. The book also contains 3 invited papers. Managing uncertainty and inconsistency has been extensively explored in Artificial Intelligence over a number of years. Now, with the advent of massive amounts of data and knowledge from distributed, heterogeneous, and potentially conflicting sources, there is interest in developing and applying formalisms for uncertainty and inconsistency in systems that need to better manage this data and knowledge. The International Conference on Scalable Uncertainty (SUM) aims to provide a forum for researchers who are working on uncertainty management, in different communities and with different uncertainty models, to meet and exchange ideas.
    Note: Invited papers -- Maximum likelihood estimation and coarse data -- Reasons and Means to Model Preferences as Incomplete -- Fuzzy Description Logics - A Survey -- Regular papers -- Using k-specificity for the management of count restrictions in flexible querying -- Comparing Machine Learning and Information Retrieval-based Approaches for Filtering Documents in a Parliamentary Setting -- Eliciting Implicit Evocations using Word Embeddings and Knowledge Representation -- K-nearest neighbour classification for interval-valued data -- Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions -- Closed-Form Solutions in Learning Probabilistic Logic Programs by Exact Score Maximization -- Fault Tolerant Direct NAT Structure Extraction from Pairwise Causal Interaction Patterns.-The Altruistic Robot: do what I want, not just what I say -- Expressivity of possibilistic preference networks with constraints -- Assumption-Based Argumentation Equipped with Preferences and Constraints -- Semantic Change and Extension Enforcement in Abstract Argumentation -- Measuring Disagreement in Argumentation Graphs -- Belief in Attacks in Epistemic Probabilistic Argumentation -- A Parametrized Ranking-based Semantics for Persuasion -- A Probabilistic Programming Language for Influence Diagrams -- First-Order Typed Model Counting for Probabilistic Conditional Reasoning at Maximum Entropy -- Towards Statistical Reasoning in Description Logics over Finite Domains -- Bankruptcy Scenario Query: B-SQ -- A view of f-indexes of inclusion under different axiomatic definitions of fuzzy inclusion -- An integer 0-1 linear programming approach for computing inconsistency degree in product-based possibilistic DL-Lite -- A Semantic characterization for ASP base revision -- On Iterated Contraction: syntactic characterization, representation theorem and limitations of the Levi identity -- Handling Topical Metadata Regarding the Validity and Completeness of Multiple-Source Information: A possibilistic approach -- Aggregation of preferences on criteria importance expressed on various subsets by several decision makers -- Short papers -- Probabilistic local link prediction in complex networks -- A Fuzzy Ontology-based System for Gait Recognition using Kinect Sensor -- Evidential joint calibration of binary SVM classifiers using logistic regression -- Ad hoc metric for correspondences analysis between fuzzy partitions On Similarity-based Unfolding -- The Causality/Repair Connection in Databases: Causality-Programs.  .
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783319675817
    Language: English
    DOI: 10.1007/978-3-319-67582-4
    URL: http://dx.doi.org/10.1007/978-3-319-67582-4
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  • 8
    Online Resource
    Online Resource
    Foundations of Intelligent Systems : 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings (2015)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9947364004302882
    Format: XXIII, 466 p. 78 illus. in color. , online resource.
    Edition: 1st ed. 2015.
    ISBN: 9783319252520
    Series Statement: Lecture Notes in Computer Science, 9384
    Content: This book constitutes the refereed proceedings of the 22nd International Symposium on Methodologies for Intelligent Systems, ISMIS 2015, held in Lyon, France, in October 2015. The 31 revised full papers presented together with 18 short papers were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on data mining methods; databases, information retrieval, recommender systems; machine learning; knowledge representation, semantic web; emotion recognition, music information retrieval; network analysis, multi-agent systems; applications; planning, classification; and textual data analysis and mining.
    Note: Data mining methods -- Databases, information retrieval, recommender systems -- Machine learning -- Knowledge representation, semantic web -- Emotion recognition, music information retrieval -- Network analysis, multi-agent systems -- Applications -- Planning, classification -- Textual data analysis and mining.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783319252513
    Language: English
    DOI: 10.1007/978-3-319-25252-0
    URL: http://dx.doi.org/10.1007/978-3-319-25252-0
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  • 9
    Online Resource
    Online Resource
    Scalable uncertainty management : 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017 : proceedings (2017)
    Cham :Springer,
    Details
    UID:
    edocfu_BV044529957
    Format: 1 Online-Ressource (XIX, 438 Seiten) : , Illustrationen, Diagramme.
    ISBN: 978-3-319-67582-4
    Series Statement: Lecture Notes in Computer Science 10564
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-67581-7
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Unsicherheit ; Datenbanksystem ; Problemlösen ; Künstliche Intelligenz ; Konferenzschrift
    DOI: 10.1007/978-3-319-67582-4
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 10
    Online Resource
    Online Resource
    Fuzzy preference queries to relational databases / (2012)
    London :Imperial College Press,
    Details
    UID:
    almafu_9959245993102883
    Format: 1 online resource (347 p.)
    ISBN: 1-280-66905-5 , 9786613645982 , 1-84816-870-5
    Content: The manipulation of databases is an integral part of a world which is becoming increasingly and pervasively information-focused. This book puts forward a suggestion to advocate preference queries and fuzzy sets as a central concern in database queries and offers an important contribution to the design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets
    Note: Description based upon print version of record. , Acknowledgments; Foreword; Contents; 1. Introduction; 1.1 Databases and their Evolution; 1.2 Preferences and Fuzzy Sets; 1.3 Overview of the Book; 2. Reminders on Relational Databases; 2.1 Basic Notions and Vocabulary; 2.2 Algebraic Operations; 2.2.1 Set operations; 2.2.2 Relational operations; 2.2.3 Properties; 2.3 An Overview of SQL; 2.3.1 The base block; 2.3.2 Combining base blocks; 2.3.3 Partitioning; 2.3.4 Expressing division and antidivision; 3. Basic Notions on Fuzzy Sets; 3.1 Introduction; 3.2 Definitions and Notations; 3.3 Composition of Fuzzy Sets , 3.3.1 Intersection and union of fuzzy sets3.3.2 Difference between fuzzy sets; 3.3.3 Cartesian product of fuzzy sets; 3.3.4 Trade-off operators; 3.3.5 Nonsymmetric operators; 3.3.5.1 "And if possible"; 3.3.5.2 "Or else"; 3.3.5.3 "All the more as"; 3.4 Inclusions and Implications; 3.4.1 Fuzzy implications; 3.4.1.1 Introduction; 3.4.1.2 S-implications; 3.4.1.3 R-implications; 3.4.1.4 Contraposition of R-implications; 3.4.1.5 Some characteristics of fuzzy implications; 3.4.1.6 Semantic aspects of fuzzy implications; 3.4.2 Inclusions; 3.4.2.1 Introduction , 3.4.2.2 Regular inclusion between fuzzy sets3.4.2.3 Graded inclusion; 3.4.2.4 Graded equality of fuzzy sets; 3.4.2.5 Tolerant inclusion; 3.5 Fuzzy Measures and Integrals; 3.5.1 Introduction; 3.5.2 Fuzzy measures; 3.5.3 Fuzzy integrals; 3.6 The Extension Principle; 3.7 Fuzzy Quantified Propositions; 3.7.1 Fuzzy linguistic quantifiers; 3.7.2 Quantified propositions; 4. Non-Fuzzy Approaches to Preference Queries: A Brief Overview; 4.1 Introduction; 4.2 Quantitative Approaches; 4.2.1 Distances and similarity; 4.2.2 Linguistic preferences; 4.2.3 Explicit scores attached to entities , 4.2.4 Top-k queries4.2.5 Outranking; 4.3 Qualitative Approaches; 4.3.1 Secondary preference criterion; 4.3.2 Pareto-order-based approaches; 4.3.3 CP-nets; 4.3.4 Domain linearization; 4.3.5 Possibilistic-logic-based approach; 4.4 Conclusion; 5. Simple Fuzzy Queries; 5.1 Introduction; 5.2 An Extended Relational Algebra; 5.3 An Overview of a Basic Version of SQLf; 5.3.1 Introduction; 5.3.2 The multiple relation base block; 5.3.3 Subqueries; 5.3.3.1 Nesting with "in"; 5.3.3.2 Nesting with "exists"; 5.3.3.3 Nesting with "all" and "any"; 5.3.3.4 Nesting and scalar comparison , 5.3.4 Set-oriented operators5.3.5 Relation partitioning; 5.3.5.1 Qualification of partitions by means of aggregate functions; 5.4 Interface for User-Defined Terms and Operators; 5.5 Contextual Queries; 5.5.1 Queries with one level of context; 5.5.2 Queries with several levels of context; 5.6 Evaluation of Simple Fuzzy Queries; 5.6.1 Derivation principle; 5.6.1.1 Transformation of base predicates; 5.6.1.2 Single-block projection-selection-join queries; 5.6.1.3 Nested queries; 5.6.2 Derivation-based processing of SQLf queries; 5.6.2.1 General strategy , 5.6.2.2 Single-block selection-projection-join queries , English
    Additional Edition: ISBN 1-84816-869-1
    Language: English
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