Privacy Preservation using Intelligent Techniques

Name: Privacy Preservation using Intelligent Techniques
Brand: LAP Lambert Academic Publishing
SKU: 9783330002647
Price: 56.01 EUR
Availability: InStock

Autor: Geetha Mary Amalanathan

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP Lambert Academic Publishing

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Privacy Preserving Data Mining (PPDM) is an active research area which deals with generation of know...

Informácie o knihe

Autor

Geetha Mary Amalanathan

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2016

Stránok

176

EAN

9783330002647

ISBN

3330002646

Enbook ID

15607897

Vydavateľ

LAP Lambert Academic Publishing

Hmotnosť

278

Rozmery

150 x 220 x 11

Kompletný popis

Privacy Preserving Data Mining (PPDM) is an active research area which deals with generation of knowledge without revealing user identity or sensitive information. Real world data is made up of vague and uncertain data and spans to many universe and granules, which were not considered in PPDM. The focus of this book is towards entrench PPDM techniques in intelligent techniques like fuzzy set theory, rough set theory and association rule mining, over vague and imprecise data. Studies were conducted based on varying real life scenarios and designing methods to suit to those needs were proposed and proved through theoretically and experimentally. This book is produced from many theories, proofs, experiments and studies, which were presented in a simple and understandable style. This book would serve as a major source of knowledge for researchers in the area of PPDM, data mining and rough set theory.

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