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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 Markov Chain Monte Carlo and Databases
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    Chapter 2 Answer Set Programming, the Solving Paradigm for Knowledge Representation and Reasoning
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    Chapter 3 Graphical and Logical-Based Representations of Uncertain Information in a Possibility Theory Framework
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    Chapter 4 Probabilistic Data: A Tiny Survey
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    Chapter 5 The Role of Epistemic Uncertainty in Risk Analysis
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    Chapter 6 Uncertainty in Clustering and Classification
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    Chapter 7 Information Fusion
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    Chapter 8 Use of the Domination Property for Interval Valued Digital Signal Processing
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    Chapter 9 Managing Lineage and Uncertainty under a Data Exchange Setting
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    Chapter 10 A Formal Analysis of Logic-Based Argumentation Systems
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    Chapter 11 Handling Inconsistency with Preference-Based Argumentation
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    Chapter 12 A Possibility Theory-Oriented Discussion of Conceptual Pattern Structures
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    Chapter 13 DK-BKM: Decremental K Belief K-Modes Method
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    Chapter 14 On the Use of Fuzzy Cardinalities for Reducing Plethoric Answers to Fuzzy Queries
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    Chapter 15 From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data
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    Chapter 16 Plausibility of Information Reported by Successive Sources
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    Chapter 17 Combining Semantic Web Search with the Power of Inductive Reasoning
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    Chapter 18 Evaluating Trust from Past Assessments with Imprecise Probabilities: Comparing Two Approaches
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    Chapter 19 Range-Consistent Answers of Aggregate Queries under Aggregate Constraints
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    Chapter 20 Characterization, Propagation and Analysis of Aleatory and Epistemic Uncertainty in the 2008 Performance Assessment for the Proposed Repository for High-Level Radioactive Waste at Yucca Mountain, Nevada
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    Chapter 21 Comparing Evidential Graphical Models for Imprecise Reliability
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    Chapter 22 Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues
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    Chapter 23 Kriging with Ill-Known Variogram and Data
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    Chapter 24 Scalable Uncertainty Management
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    Chapter 25 Uncertainty in Decision Tree Classifiers
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    Chapter 26 Efficient Policy-Based Inconsistency Management in Relational Knowledge Bases
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    Chapter 27 Modelling Probabilistic Inference Networks and Classification in Probabilistic Datalog
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    Chapter 28 Handling Dirty Databases: From User Warning to Data Cleaning — Towards an Interactive Approach
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    Chapter 29 Disjunctive Fuzzy Logic Programs with Fuzzy Answer Set Semantics
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    Chapter 30 Cost-Based Query Answering in Action Probabilistic Logic Programs
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    Chapter 31 Clustering Fuzzy Data Using the Fuzzy EM Algorithm
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    Chapter 32 Combining Multi-resolution Evidence for Georeferencing Flickr Images
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    Chapter 33 A Structure-Based Similarity Spreading Approach for Ontology Matching
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    Chapter 34 Risk Modeling for Decision Support
Attention for Chapter 12: A Possibility Theory-Oriented Discussion of Conceptual Pattern Structures
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Chapter title
A Possibility Theory-Oriented Discussion of Conceptual Pattern Structures
Chapter number 12
Book title
Scalable Uncertainty Management
Published by
Springer Berlin Heidelberg, January 2010
DOI 10.1007/978-3-642-15951-0_12
Book ISBNs
978-3-64-215950-3, 978-3-64-215951-0, 978-3-64-215950-3, 978-3-64-215951-0
Authors

Zainab Assaghir, Mehdi Kaytoue, Henri Prade, Assaghir, Zainab, Kaytoue, Mehdi, Prade, Henri

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Lecturer 2 29%
Researcher 2 29%
Professor > Associate Professor 1 14%
Readers by discipline Count As %
Computer Science 5 71%
Unknown 2 29%