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" Association rule hiding for data mining / "
by Aris Gkoulalas-Divanis, Vassilios S. Verykios.
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BL
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| Record Number
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958577
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b712947
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| Main Entry
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Gkoulalas-Divanis, Aris.
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| Title & Author
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Association rule hiding for data mining /\ by Aris Gkoulalas-Divanis, Vassilios S. Verykios.
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| Publication Statement
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New York :: Springer,, ©2010.
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| Series Statement
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Advances in database systems ;; v. 41
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| Page. NO
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1 online resource (xx, 150 pages)
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| ISBN
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1441965688
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: 1441965696
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: 9781441965684
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: 9781441965691
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9781441965684
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| Bibliographies/Indexes
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Includes bibliographical references (pages 145-148) and index.
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| Contents
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pt. 1. Fundamental concepts -- pt. 2. Heuristic approaches -- pt. 3. Border based approaches -- pt. 4. Exact hiding approaches -- pt. 5. Epilogue.
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| Abstract
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Privacy and security risks arising from the application 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 on data mining, which studies the problem of hiding sensitive association rules from within the data. Association Rule Hiding for Data Mining addresses the optimization problem of?hiding? sensitive association rules which due to its combinatorial nature admits a number of heuristic solutions that will be proposed and presented in this book. Exact solutions of increased time complexity that have been proposed recently are also presented as well as a number of computationally efficient (parallel) approaches that alleviate time complexity problems, along with a discussion regarding unsolved problems and future directions. 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.
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| Subject
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Association rule mining.
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Extraction de règles d'association.
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Association rule mining.
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COMPUTERS-- Database Management-- Data Mining.
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Informatique.
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| Dewey Classification
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006.3/12
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| LC Classification
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QA76.9.D343G56 2010
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| NLM classification
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54.64bcl
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| Added Entry
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Verykios, Vassilios S.
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