عنوان

Association rule hiding for data mining /

(Number (ISBN

1441965688

(Number (ISBN

1441965696

(Number (ISBN

9781441965684

(Number (ISBN

9781441965691

Erroneous ISBN

9781441965684

Number

b712947

Title Proper

Association rule hiding for data mining /

General Material Designation

[Book]

First Statement of Responsibility

by Aris Gkoulalas-Divanis, Vassilios S. Verykios.

Place of Publication, Distribution, etc.

New York :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

©2010.

Specific Material Designation and Extent of Item

1 online resource (xx, 150 pages)

Series Title

Advances in database systems ;

Volume Designation

v. 41

Text of Note

Includes bibliographical references (pages 145-148) and index.

Text of Note

pt. 1. Fundamental concepts -- pt. 2. Heuristic approaches -- pt. 3. Border based approaches -- pt. 4. Exact hiding approaches -- pt. 5. Epilogue.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Springer

Stock Number

978-1-4419-6568-4

Title

Association rule hiding for data mining.

International Standard Book Number

9781441965684

Association rule mining.

Extraction de règles d'association.

Association rule mining.

COMPUTERS-- Database Management-- Data Mining.

Informatique.

COM-- 021030

UMT

UN

Number

Edition

Class number

Book number

Class number

System Code

Gkoulalas-Divanis, Aris.

Verykios, Vassilios S.

Date of Transaction

20201208032436.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y