Association Rule Mining with Hybrid- Dimension Datasets
Published: 2012
Author(s) Name: Priyanka Pawar, Sachin Deshpande, Vipul Dalal
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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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