Articles liés à Privacy Preservation using Intelligent Techniques
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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Privacy Preservation using Intelligent Techniques
Edité par
LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10 : 3330002646
ISBN 13 : 9783330002647
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783330002647
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Privacy Preservation using Intelligent Techniques
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3330002646
ISBN 13 : 9783330002647
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : 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. N° de réf. du vendeur 158590096
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Privacy Preservation using Intelligent Techniques
Edité par
LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10 : 3330002646
ISBN 13 : 9783330002647
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783330002647
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Privacy Preservation using Intelligent Techniques
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3330002646
ISBN 13 : 9783330002647
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 108009054
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Privacy Preservation using Intelligent Techniques
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3330002646
ISBN 13 : 9783330002647
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783330002647
Acheter neuf
EUR 64,90
Expédition à EUR 61,40
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