Privacy Preserving Data Mining Using Optimization Methods - Sridhar Mandapati - 图书 - LAP LAMBERT Academic Publishing - 9783659542626 - 2014年7月2日
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Privacy Preserving Data Mining Using Optimization Methods

价格
元 398
不含税

远程仓调货

预计送达时间 年6月8日 - 年6月18日
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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.

介质类型 图书     Paperback Book   (平装胶订图书)
已发行 2014年7月2日
ISBN13 9783659542626
出版商 LAP LAMBERT Academic Publishing
页数 128
商品尺寸 152 × 229 × 8 mm   ·   209 g
语言 德语