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Modeling Decisions for Artificial Intelligence

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Cover of 'Modeling Decisions for Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Classifying large graphs with differential privacy
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    Chapter 2 Extremal Completions of Triangular Norms Known on a Subregion of the Unit Interval
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    Chapter 3 The Notion of Pre-aggregation Function
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    Chapter 4 Weighted Quasi-Arithmetic Mean on Two-Dimensional Regions and Their Applications
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    Chapter 5 A Comparison of the GAI Model and the Choquet Integral w.r.t. a k -ary Capacity
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    Chapter 6 Estimating Unknown Values in Reciprocal Intuitionistic Preference Relations via Asymmetric Fuzzy Preference Relations
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    Chapter 7 Handling Risk Attitudes for Preference Learning and Intelligent Decision Support
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    Chapter 8 Representation of Ordinal Preferences over Infinite Products
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    Chapter 9 Spherical k -Means++ Clustering
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    Chapter 10 On Possibilistic Clustering Methods Based on Shannon/Tsallis-Entropy for Spherical Data and Categorical Multivariate Data
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    Chapter 11 A Unified Theory of Fuzzy c -Means Clustering Models with Improved Partition
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    Chapter 12 Effective MVU via Central Prototypes and Kernel Ridge Regression
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    Chapter 13 Cooperative Multi-agent Learning in a Large Dynamic Environment
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    Chapter 14 Optimized and Parallel Query Processing in Similarity-Based Databases
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    Chapter 15 An Evaluation of Edge Modification Techniques for Privacy-Preserving on Graphs
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    Chapter 16 Co-utile Collaborative Anonymization of Microdata
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    Chapter 17 Generalization-Based k -Anonymization
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    Chapter 18 The Complexity of 3-Valued Łukasiewicz Rules
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    Chapter 19 Information Theory for Subjective Logic
Attention for Chapter 16: Co-utile Collaborative Anonymization of Microdata
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Chapter title
Co-utile Collaborative Anonymization of Microdata
Chapter number 16
Book title
Modeling Decisions for Artificial Intelligence
Published by
Springer, Cham, September 2015
DOI 10.1007/978-3-319-23240-9_16
Book ISBNs
978-3-31-923239-3, 978-3-31-923240-9
Authors

Jordi Soria-Comas, Josep Domingo-Ferrer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 10%
Spain 1 10%
Switzerland 1 10%
Unknown 7 70%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 30%
Student > Master 2 20%
Lecturer 2 20%
Student > Ph. D. Student 1 10%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 5 50%
Biochemistry, Genetics and Molecular Biology 1 10%
Social Sciences 1 10%
Engineering 1 10%
Unknown 2 20%