Advances Mining

Jaideep Vaidya, "Privacy Preserving Data Mining (Advances in Information Security)"

Jaideep Vaidya, "Privacy Preserving Data Mining (Advances in Information Security)"
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.

Advances in Data Mining  eBooks & eLearning

Posted by sandhu1 at May 18, 2011
Advances in Data Mining

Advances in Data Mining
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.

Advances in Data Mining and Modeling  eBooks & eLearning

Posted by yousufhunk at March 24, 2011
Advances in Data Mining and Modeling

Advances in Data Mining and Modeling
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

Advances in Data Mining: Applications and Theoretical Aspects  eBooks & eLearning

Posted by tot167 at March 16, 2011
Advances in Data Mining: Applications and Theoretical Aspects

Petra Perner, "Advances in Data Mining: Applications and Theoretical Aspects"
Sp nger | 2010 | ISBN: 3642143997 | 654 pages | PDF | 12,2 MB

Advances in Social Network Mining and Analysis  eBooks & eLearning

Posted by tot167 at Sept. 9, 2010
Advances in Social Network Mining and Analysis

C. Lee Giles, Marc Smith, John Yen, Haizheng Zhang, "Advances in Social Network Mining and Analysis: Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008"
Springer | 2010 | ISBN: 3642149286 | 131 pages | PDF | 2,7 MB

Managing and Mining Uncertain Data (Advances in Database Systems)  eBooks & eLearning

Posted by tot167 at July 15, 2010
Managing and Mining Uncertain Data (Advances in Database Systems)

Charu C. Aggarwal, "Managing and Mining Uncertain Data (Advances in Database Systems)"
Springer | 2009 | ISBN: 0387096892 | 494 pages | PDF | 4,3 MB

Advances in Knowledge Discovery and Data Mining, Part II  eBooks & eLearning

Posted by m_gobara at June 7, 2010
Advances in Knowledge Discovery and Data Mining, Part II

Advances in Knowledge Discovery and Data Mining, Part II
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.

Advances in Knowledge Discovery and Data Mining, Part I  eBooks & eLearning

Posted by m_gobara at June 7, 2010
Advances in Knowledge Discovery and Data Mining, Part I

Advances in Knowledge Discovery and Data Mining, Part I
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.

Privacy Preserving Data Mining (Advances in Information Security) (Repost)  eBooks & eLearning

Posted by JohnGenry at March 11, 2010
 Privacy Preserving Data Mining (Advances in Information Security) (Repost)

Privacy Preserving Data Mining (Advances in Information Security)
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.

Advances in Knowledge Discovery and Data Mining  eBooks & eLearning

Posted by tot167 at March 17, 2009
Advances in Knowledge Discovery and Data Mining

Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang, “Advances in Knowledge Discovery and Data Mining”
Springer | 2004 | ISBN: 354022064X | 713 pages | PDF | 27 MB