Parallel Version of Tree Based Association Rule Mining Algorithm

Provided by: International Journal of Scientific and Research Publication (IJSRP)
Topic: Data Management
Format: PDF
Association rule mining is to find out association rules that satisfy the predefined minimum support and confidence from a given database. Tree Based Association Rule (TBAR) mining algorithm decreases the number of database scans during frequent item set mining to improve association rule mining process. In this paper, the authors present parallel version of TBAR algorithm. Parallel version of TBAR algorithm decreases the time required for association rule mining process by making candidate item set generation, frequent item set generation and association rule generation process parallel.

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