ABSTRACT:
In the project , we revised Apriori implementation into a parallel one where input transactions are read by a parallel computer. The effect of a parallel computer on this modified implementation is presented. The main objective is to find the Frequent item sets. We use Apriori Algorithm to find the frequent item sets.
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The results of Apriori implementation for finding frequent item sets (FIM) appear to be faster than Borgelt and Goethals.
Software Requirements:
-Java
-Swings
Hardware Requirements:
PC configuration:
-Processor – Pentium IV Processor, 2.6 GHz
-RAM - 512 mb
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