Privacy Preserving Data Mining

• Main Authors: Vaidya, Jaideep (Author), Zhu, Yu Michael (Author), Clifton, Christopher W. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2006.
• Series: Advances in Information Security, 19
• Subjects: Computer science.; Computer communication systems.; Data structures (Computer science).; Data encryption (Computer science).; Database management.; Data mining.; Information storage and retrieval.; Computer Science.; Data Mining and Knowledge Discovery.; Database Management.; Data Structures, Cryptology and Information Theory.; Data Encryption.; Information Storage and Retrieval.; Computer Communication Networks.

Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that use of this technology can violate individual privacy. These concerns have led to a backlash against the technology, for example, a "Data-Mining Moratorium...

Table of Contents:

• Privacy and Data Mining
• What is Privacy?
• Solution Approaches / Problems
• Predictive Modeling for Classification
• Predictive Modeling for Regression
• Finding Patterns and Rules (Association Rules)
• Descriptive Modeling (Clustering, Outlier Detection)
• Future Research - Problems remaining.