この商品を友人に教える:
Privacy Preserving Data Mining Using Optimization Methods Sridhar Mandapati
遠隔倉庫からの取り寄せ
Privacy Preserving Data Mining Using Optimization Methods
Sridhar Mandapati
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.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2014年7月2日 |
| ISBN13 | 9783659542626 |
| 出版社 | LAP LAMBERT Academic Publishing |
| ページ数 | 128 |
| 寸法 | 152 × 229 × 8 mm · 209 g |
| 言語 | ドイツ語 |