Posted by **s13tas** at Sept. 24, 2012

ISBN: 0387258867 | edition 2005 | PDF | 123 pages | 6 mb

Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. Crystallizing much of the underlying foundation, the book aims to inspire further research in this new and growing area. Privacy Preserving Data Mining is intended to be accessible to industry practitioners and policy makers, to help inform future decision making and legislation, and to serve as a useful technical reference.

Posted by **sandhu1** at May 18, 2011

Springer; 1 edition | July 28, 2006 | ISBN-10: 3540360360 | 603 pages | PDF | 11.15 MB

This book constitutes the refereed proceedings of the 6th Industrial Conference on Data Mining, ICDM 2006, held in Leipzig, Germany.

Posted by **yousufhunk** at March 24, 2011

World Scientific Publishing Company | April 2003 | ISBN-10: 9812383549 | 196 pages | PDF | 8.4 MB

Data mining and data modeling are hot topics and are under fast development. Because of their wide applications and rich research contents, many practitioners and academics are attracted to work in these areas. With a view to

Posted by **tot167** at March 16, 2011

Sp nger | 2010 | ISBN: 3642143997 | 654 pages | PDF | 12,2 MB

Posted by **tot167** at Sept. 9, 2010

Springer | 2010 | ISBN: 3642149286 | 131 pages | PDF | 2,7 MB

Posted by **tot167** at July 15, 2010

Springer | 2009 | ISBN: 0387096892 | 494 pages | PDF | 4,3 MB

Posted by **m_gobara** at June 7, 2010

Springer | 2010-06-28 | ISBN: 3642136710 | 520 pages | PDF | 9 MB

This book constitutes the proceedings of the 14th Pacific-Asia Conference, PAKDD 2010, held in Hyderabad, India, in June 2010.

Posted by **m_gobara** at June 7, 2010

Springer | 2010-06-28 | ISBN: 3642136567 | 506 pages | PDF | 10 MB

This book constitutes the proceedings of the 14th Pacific-Asia Conference, PAKDD 2010, held in Hyderabad, India, in June 2010.

Posted by **JohnGenry** at March 11, 2010

Publisher: Springer | ISBN: 0387258868 | edition 2005 | PDF | 124 pages | 14,7 mb

This book presents a sampling of work in the field. The primary target is the researcher or student who wishes to work in privacy-preserving data mining; the goal is to give a background on approaches along with details showing how to develop specific solutions within each approach. The book is organized much like a typical data mining text, with discussion of privacy-preserving solutions to particular data mining tasks. Readers with more general interests on the interaction between data mining and privacy will want to concentrate on Chapters 1-3 and 8, which describe privacy impacts of data mining and general approaches to privacy-preserving data mining. Those who have particular data mining problems to solve, but run into roadblocks because of privacy issues, may want to concentrate on the specific type of data mining task in Chapters 4-7.

The authors sincerely hope this book will be valuable in bringing order to this new and exciting research area; leading to advances that accomplish the apparently competing goals of extracting knowledge from data and protecting the privacy of the individuals the data is about.

Posted by **tot167** at March 17, 2009

Springer | 2004 | ISBN: 354022064X | 713 pages | PDF | 27 MB