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» Integrating and Mining Distributed Customer Databases
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CIKM
2006
Springer
13 years 9 months ago
Privacy preserving sequential pattern mining in distributed databases
Research in the areas of privacy preserving techniques in databases and subsequently in privacy enhancement technologies have witnessed an explosive growth-spurt in recent years. ...
Vishal Kapoor, Pascal Poncelet, François Tr...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 6 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
KDD
2002
ACM
214views Data Mining» more  KDD 2002»
14 years 6 months ago
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Jaideep Vaidya, Chris Clifton
PODS
2005
ACM
96views Database» more  PODS 2005»
14 years 5 months ago
Privacy-enhancing k-anonymization of customer data
In order to protect individuals' privacy, the technique of kanonymization has been proposed to de-associate sensitive attributes from the corresponding identifiers. In this p...
Sheng Zhong, Zhiqiang Yang, Rebecca N. Wright
KDD
2003
ACM
210views Data Mining» more  KDD 2003»
14 years 6 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton