Privacy Preserving Data Mining using Optimization Methods

ISBN-13: 9783659542626 / Angielski / Miękka / 2014 / 128 str.

Mandapati Sridhar

Opis

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.

O autorze

Sridhar Mandapati obtained his Ph.D (Computer Science and Engineering) from Acharya Nagarjuna University, Guntur and Master of Computer Applications from S.V University, Tirupathi. He is currently working as Associate Professor in the Department of Computer Applications at R.V.R. & J.C College of Engineering, Guntur.