A Fast Algorithm for Mining Multilevel Association Rule Based on Boolean Matrix
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 3
Abstract
In this paper an algorithm is proposed for mining multilevel ssociation rules. A Boolean Matrix based approach has been mployed to discover frequent itemsets, the item forming a ule ome from different levels. It adopts Boolean relational lculus to discover maximum frequent itemsets at ower level. When using this algorithm first time, it scans the atabase once and will generate the association rules. Apriori roperty is used in prune the item sets. It is not necessary to can the database again; it uses Boolean logical operation to enerate the multilevel association rules and also use op-down progressive deepening method.
Authors and Affiliations
Pratima Gautam , K. R. Pardasani
Keywords
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