ISBN: 9781441965684 - association rule hiding for data mining: 41 (14 risultati)

hardcover. Condizione: Sehr gut. 158 Seiten; 9781441965684.2 Gewicht in Gramm: 500.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 172.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Privacy and security risks arising from theapplication of different data mining techniques to large institutional data repositories have been solely investigated by a new research domain, the so-called privacy preserving data mining. Association rule hiding is a new technique in data mining, which studies the problem of hiding sensitive association rules from within the data.Association Rule Hiding for Data Mining addresses the problem of 'hiding' sensitive association rules, and introduces a number of heuristic solutions. Exact solutions of increased time complexity that have been proposed recently are presented, as well as a number of computationally efficient (parallel) approaches that alleviate time complexity problems, along with a thorough discussion regarding closely related problems (inverse frequent item set mining, data reconstruction approaches, etc.). Unsolved problems, future directions and specific examples are provided throughout this book to help the reader study, assimilate and appreciate the important aspects of this challenging problem.Association Rule Hiding for Data Mining is designed for researchers, professors and advanced-level students in computer science studying privacy preserving data mining, association rule mining, and data mining. This book is also suitable for practitioners working in this industry.…

Condizione: gut. 2010. Association Rule Hiding for Data Mining (Advances in Database Systems, 41, Band 41) In englischer Sprache. pages.

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Privacy and security risks arising from theapplication of different data mining techniques to large institutional data repositories have been solely investigated by a new research domain, the so-called privacy preserving data mining. Association rule hiding is a new technique in data mining, which studies the problem of hiding sensitive association rules from within the data.Association Rule Hiding for Data Mining addresses the problem of 'hiding' sensitive association rules, and introduces a number of heuristic solutions. Exact solutions of increased time complexity that have been proposed recently are presented, as well as a number of computationally efficient (parallel) approaches that alleviate time complexity problems, along with a thorough discussion regarding closely related problems (inverse frequent item set mining, data reconstruction approaches, etc.). Unsolved problems, future directions and specific examples are provided throughout this book to help the reader study, assimilate and appreciate the important aspects of this challenging problem.Association Rule Hiding for Data Mining is designed for researchers, professors and advanced-level students in computer science studying privacy preserving data mining, association rule mining, and data mining. This book is also suitable for practitioners working in this industry. 138 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is among the pioneer efforts regarding the development of Association Rule HidingProvides examples throughout this book to help the reader study, assimilate and appreciate the important aspects of this challenging problemCovers cl.…

Condizione: New. Print on Demand pp. 172 Illus.

Condizione: New. PRINT ON DEMAND pp. 172.