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» A Localized Algorithm for Parallel Association Mining
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SPAA
1997
ACM
9 years 2 months ago
A Localized Algorithm for Parallel Association Mining
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
KDD
1998
ACM
122views Data Mining» more  KDD 1998»
9 years 2 months ago
Memory Placement Techniques for Parallel Association Mining
Many data mining tasks (e.g., Association Rules, Sequential Patterns) use complex pointer-based data structures (e.g., hash trees) that typically suffer from sub-optimal data loca...
Srinivasan Parthasarathy, Mohammed Javeed Zaki, We...
SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
9 years 2 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
DATAMINE
2000
115views more  DATAMINE 2000»
8 years 10 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
CCGRID
2004
IEEE
9 years 2 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
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