IMS Manthan (The Journal of Mgt., Comp. Science & Journalism)

2012 | Volume 7 | Issue Issue 1

Association Rule Mining with Hybrid- Dimension Datasets

1. Priyanka Pawar

2. Sachin Deshpande

3. Vipul Dalal

Received
- 		Accepted
- 		Published
16-Sep-2012
Abstract
Hybrid dimension association rules mining algorithm satisfies the definite condition on the basis of multidimensional transaction database. Boolean Matrix based approach has been employed to generate frequent item sets in multidimensional transaction databases. When using this algorithm first time, it scans the database once and will generate the association rules. Apriori property is used in algorithm to prune the item sets. It is not necessary to scan the database again; it uses Boolean logical operations to generate the association rules.
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