Privacy Preserving Data Mining Using Optimization Methods - Sridhar Mandapati - Knjige - LAP LAMBERT Academic Publishing - 9783659542626 - 2. julij 2014
Če se naslovnica in naslov ne ujemata, je naslov pravilen

Privacy Preserving Data Mining Using Optimization Methods

Cena
€ 52,99

Naročeno iz oddaljenega skladišča

Predvidena dobava 9. - 17. apr
Dodaj na svoj seznam želja iMusic

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.

Medij Knjige     Paperback Book   (Knjiga z mehkimi platnicami in lepljenim hrbtom)
Izdano 2. julij 2014
ISBN13 9783659542626
Založniki LAP LAMBERT Academic Publishing
Strani 128
Dimenzije 152 × 229 × 8 mm   ·   209 g
Jezik Nemščina