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» Scalable Parallel Data Mining for Association Rules
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SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
9 years 5 months ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar
IDEAS
1999
IEEE
175views Database» more  IDEAS 1999»
9 years 5 months ago
A Parallel Scalable Infrastructure for OLAP and Data Mining
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The mu...
Sanjay Goil, Alok N. Choudhary
CIKM
2009
Springer
9 years 6 months ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia
CCGRID
2004
IEEE
9 years 5 months ago
Privacy-preserving association rule mining in large-scale distributed systems
Data privacy is a major concern that threatens the widespread deployment of Data Grids in domains such as health-care and finance. We propose a unique approach for obtaining knowl...
Assaf Schuster, Ran Wolff, Bobi Gilburd
DATAMINE
2000
115views more  DATAMINE 2000»
9 years 1 months ago
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
Data mining on large data warehouses is becoming increasingly important. In support of this trend, we consider a spectrum of architectural alternatives for coupling mining with da...
Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal
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