Frequent Item Set Mining Using Convertible Constraints in IMine

Frequent item set mining has turned out to be a familiar area of investigation in the data mining field. Its key objective is to determine the sets of items that come collectively more than a specified threshold value based on the need. The IMine index structure provides the more common and compressed structure for the close integration of item set mining in a relational DBMS. The IMine index structure can be successfully used by several item set extraction approaches. Mining frequent item sets without constraints will provide unwanted results and hence it involves in more computation time.

Provided by: EuroJournals Topic: Big Data Date Added: Nov 2011 Format: PDF

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