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Synopsis
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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About the Author
Dr. Geetha Mary A received her Ph.D. from VIT University, Vellore, India. She has completed M.Tech. and B.E. in Computer Science and Engineering. She is working for VIT University as Associate Professor. Her research interests include security for data mining & databases. She is associated with many professional bodies like IACSIT, CSTA and IAENG.
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Privacy Preservation using Intelligent Techniques
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LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3330002646
ISBN 13: 9783330002647
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 176 pp. Englisch. Seller Inventory # 9783330002647
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Privacy Preservation using Intelligent Techniques
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ISBN 10: 3330002646
ISBN 13: 9783330002647
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Amalanathan Geetha MaryDr. Geetha Mary A received her Ph.D. from VIT University, Vellore, India. She has completed M.Tech. and B.E. in Computer Science and Engineering. She is working for VIT University as Associate Professor. Her re. Seller Inventory # 158590096
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Privacy Preservation using Intelligent Techniques
Published by
LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3330002646
ISBN 13: 9783330002647
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. Seller Inventory # 9783330002647
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Privacy Preservation using Intelligent Techniques
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330002646
ISBN 13: 9783330002647
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Taschenbuch. Condition: Neu. Privacy Preservation using Intelligent Techniques | Geetha Mary Amalanathan | Taschenbuch | 176 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783330002647 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 108009054
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Privacy Preservation using Intelligent Techniques
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330002646
ISBN 13: 9783330002647
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Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783330002647