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Foundations of Information and Knowledge Systems

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Cover of 'Foundations of Information and Knowledge Systems'

Table of Contents

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    Book Overview
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    Chapter 1 A Study of Argument Acceptability Dynamics Through Core and Remainder Sets
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    Chapter 2 Anytime Algorithms for Solving Possibilistic MDPs and Hybrid MDPs
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    Chapter 3 Possibilistic Conditional Tables
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    Chapter 4 Skeptical Inference Based on C-Representations and Its Characterization as a Constraint Satisfaction Problem
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    Chapter 5 Systems and Implementations for Solving Reasoning Problems in Conditional Logics
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    Chapter 6 Equivalence Between Answer-Set Programs Under (Partially) Fixed Input
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    Chapter 7 A k -Means-Like Algorithm for Clustering Categorical Data Using an Information Theoretic-Based Dissimilarity Measure
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    Chapter 8 Discovering Overlapping Quantitative Associations by Density-Based Mining of Relevant Attributes
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    Chapter 9 Semantic Matching Strategies for Job Recruitment: A Comparison of New and Known Approaches
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    Chapter 10 The Challenge of Optional Matching in SPARQL
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    Chapter 11 Maintenance of Queries Under Database Changes: A Unified Logic Based Approach
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    Chapter 12 Selected Results and Related Issues of Confidentiality-Preserving Controlled Interaction Execution
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    Chapter 13 Integrity Constraints for General-Purpose Knowledge Bases
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    Chapter 14 A Knowledge Based Framework for Link Prediction in Social Networks
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    Chapter 15 Approximation and Dependence via Multiteam Semantics
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    Chapter 16 The Complexity of Non-Iterated Probabilistic Justification Logic
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    Chapter 17 Relational Complexity and Higher Order Logics
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    Chapter 18 A Logic for Non-deterministic Parallel Abstract State Machines
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Foundations of Information and Knowledge Systems
Published by
Springer, March 2016
DOI 10.1007/978-3-319-30024-5
978-3-31-930024-5, 978-3-31-930023-8

Gyssens, Marc, Simari, Guillermo

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 50%
Researcher 1 25%
Student > Postgraduate 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Unknown 1 25%