Privacy Preserving Data Mining using Optimization Methods
Language: English
Published by LAP LAMBERT Academic Publishing Jul 2014, 2014
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 53.87
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Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -PPDM using optimization methods brings you up-to-date with various PPDM Algorithms, Randomization Method, Group Based Anonymization, Distributed Privacy-Preserving Data Mining and k-Anonymous Data Mining discussed. The performance of classification accuracy and the computational time of various data mining algorithms with and without anonymized datasets and also model ranking algorithms are discussed. This book explores the possibility of using fuzzy logic for anonymization of data. The anonymization achieved is evaluated for classification accuracy using data mining algorithms. The state-of-the-art methods for privacy-preserving evolutionary algorithms (EAs) are discussed. A Hybrid Evolutionary Algorithm using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are discussed. 128 pp. Englisch.
Seller Inventory # 9783659542626
- Title
- Privacy Preserving Data Mining using Optimization Methods
- Author
- Sridhar Mandapati
- Publisher
- LAP LAMBERT Academic Publishing Jul 2014
- Publication year
- 2014
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3659542628
- ISBN 13
- 9783659542626
- Item weight
- 209 grams
- Dimensions
- 220x150x9 mm
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About the Author
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BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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