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.