Association Rule Hiding for Data Mining is popular PDF and ePub book, written by Aris Gkoulalas-Divanis in 2010-05-17, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Association Rule Hiding for Data Mining can be Read Online from any device for your convenience.
Association Rule Hiding for Data Mining Book PDF Summary
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 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.
Detail Book of Association Rule Hiding for Data Mining PDF
- Author : Aris Gkoulalas-Divanis
- Release : 17 May 2010
- Publisher : Springer Science & Business Media
- ISBN : 9781441965691
- Genre : Computers
- Total Page : 159 pages
- Language : English
- PDF File Size : 12,7 Mb
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