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Scalable Uncertainty Management

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Cover of 'Scalable Uncertainty Management'

Table of Contents

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    Book Overview
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    Chapter 1 Causality, Responsibility, and Blame: A Structural-Model Approach
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    Chapter 2 Fuzzy Logic, Annotation Domains and Semantic Web Languages
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    Chapter 3 Logic Programming and Uncertainty
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    Chapter 4 Evaluating Probabilistic Inference Techniques: A Question of “When,” not “Which”
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    Chapter 5 Probabilistic Logic Networks in a Nutshell
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    Chapter 6 Dynamics of Beliefs
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    Chapter 7 Fuzzy Classifiers – Opportunities and Challenges –
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    Chapter 8 A Brief Overview of Research in Argumentation Systems
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    Chapter 9 Maximal Ideal Recursive Semantics for Defeasible Argumentation
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    Chapter 10 Argumentation Frameworks as Constraint Satisfaction Problems
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    Chapter 11 On the Equivalence of Logic-Based Argumentation Systems
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    Chapter 12 Bipolarity in Argumentation Graphs: Towards a Better Understanding
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    Chapter 13 Handling Enthymemes in Time-Limited Persuasion Dialogs
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    Chapter 14 Argumentation Frameworks with Necessities
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    Chapter 15 A Heuristics-Based Pruning Technique for Argumentation Trees
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    Chapter 16 On Warranted Inference in Argument Trees Based Framework
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    Chapter 17 Uncertainty Handling in Quantitative BDD-Based Fault-Tree Analysis by Interval Computation
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    Chapter 18 A Branching Time Logic with Two Types of Probability Operators
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    Chapter 19 A Partition-Based First-Order Probabilistic Logic to Represent Interactive Beliefs
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    Chapter 20 Patterns Discovery for Efficient Structured Probabilistic Inference
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    Chapter 21 Indirect Elicitation of NIN-AND Trees in Causal Model Acquisition
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    Chapter 22 Change in Argumentation Systems: Exploring the Interest of Removing an Argument
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    Chapter 23 Incorporating Domain Knowledge and User Expertise in Probabilistic Tuple Merging
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    Chapter 24 Qualitative Reasoning about Incomplete Categorization Rules Based on Interpolation and Extrapolation in Conceptual Spaces
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    Chapter 25 A Change Model for Credibility Partial Order
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    Chapter 26 Conflict-Aware Historical Data Fusion
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    Chapter 27 Extended Galois Derivation Operators for Information Retrieval Based on Fuzzy Formal Concept Lattice
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    Chapter 28 Processing Fuzzy Queries in a Peer Data Management System Using Distributed Fuzzy Summaries
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    Chapter 29 Embedding Forecast Operators in Databases
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    Chapter 30 Investigating Ontological Similarity Theoretically with Fuzzy Set Theory, Information Content, and Tversky Similarity and Empirically with the Gene Ontology
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    Chapter 31 Answering Threshold Queries in Probabilistic Datalog+/– Ontologies
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    Chapter 32 Coherent Top-k Ontology Alignment for OWL EL
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    Chapter 33 Generalized Possibilistic Logic
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    Chapter 34 Transformations around Quantitative Possibilistic Logic
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    Chapter 35 Imprecise Regression Based on Possibilistic Likelihood
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    Chapter 36 Possibilistic Network-Based Classifiers: On the Reject Option and Concept Drift Issues
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    Chapter 37 Weak and Strong Disjunction in Possibilistic ASP
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    Chapter 38 t-DeLP: A Temporal Extension of the Defeasible Logic Programming Argumentative Framework
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    Chapter 39 Learning to Act Optimally in Partially Observable Markov Decision Processes Using Hybrid Probabilistic Logic Programs
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    Chapter 40 ChaseT : A Tool for Checking Chase Termination
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    Chapter 41 Swapping-Based Partitioned Sampling for Better Complex Density Estimation: Application to Articulated Object Tracking
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    Chapter 42 A Fuzzy-Based Approach to the Value of Information in Complex Military Environments
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    Chapter 43 Scalable Uncertainty Management
Attention for Chapter 27: Extended Galois Derivation Operators for Information Retrieval Based on Fuzzy Formal Concept Lattice
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Chapter title
Extended Galois Derivation Operators for Information Retrieval Based on Fuzzy Formal Concept Lattice
Chapter number 27
Book title
Scalable Uncertainty Management
Published by
Springer, Berlin, Heidelberg, October 2011
DOI 10.1007/978-3-642-23963-2_27
Book ISBNs
978-3-64-223962-5, 978-3-64-223963-2
Authors

Yassine Djouadi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Researcher 2 33%
Professor 1 17%
Student > Master 1 17%
Readers by discipline Count As %
Computer Science 5 83%
Mathematics 1 17%