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KDD
2006
ACM
128views Data Mining» more  KDD 2006»
14 years 8 months ago
On privacy preservation against adversarial data mining
Privacy preserving data processing has become an important topic recently because of advances in hardware technology which have lead to widespread proliferation of demographic and...
Charu C. Aggarwal, Jian Pei, Bo Zhang 0002
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
14 years 8 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
14 years 1 months ago
On the Privacy Preserving Properties of Random Data Perturbation Techniques
Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving data mining techniques. A large...
Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamo...
IJBIDM
2006
75views more  IJBIDM 2006»
13 years 7 months ago
Web process and workflow path mining using the Multimethod approach
: Workflow Management Systems (WfMS) provide a fundamental technological infrastructure to define and manage business processes efficiently. WfMS logs contain valuable data that ca...
Jorge Cardoso, Mitja Lenic
ICML
2009
IEEE
14 years 8 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin