Geometric Methods for Mining Large and Possibly Private Datasets

Geometric Methods for Mining Large and Possibly Private Datasets

With the wide deployment of data intensive Internet applications and continued advances in sensing technology and biotechnology, large multidimensional datasets, possibly containing privacy-conscious information have been emerging. Mining such datasets has become increasingly common in business inte...

Full description

Bibliographic Details
Main Author: Chen, Keke
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2006
Subjects:
Geometric methods
Information visualization
Data mining
Privacy-preserving data mining
Data clustering
Data classification
Distributed collaborative data mining
Categorical data clustering
Online Access:http://hdl.handle.net/1853/11561

Internet

http://hdl.handle.net/1853/11561

Similar Items