An Effective Association Rule Mining in Large Database

Provided by: International Journal of Computer Application and Engineering Technology (IJCAET)
Topic: Data Management
Format: PDF
Data Mining refers to extracting knowledge from large amount of data. The Discovery of interesting association relationships among huge amount of data will help marketing, decision making and business management. Previous studies on mining association rules consumes more time to compute the frequency of the occurrences of interesting subset of items (called candidates) in the database of transactions. In this paper, a fast algorithm has been proposed for reducing the cost in frequent pattern mining.

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