Validation of Association Rules With Finite Automata and Hierarchical Clustering

In this paper, the authors describe the new approaches for finding the strong and validated association rules for two different applications. Association rule validation is made to avoid irrelevant rules from the newly constructed rules. Association rule analysis starts with transactions containing one or more products or service offerings and some rudimentary information about the transaction. It has two steps process. One is to find the frequent item set from the database. It produce huge quantity of item set, these item set are mostly irrelevant to the transaction. Second step is to construct the association rule from the frequent item set.

Provided by: Universal Insurance Managers, Inc. Topic: Big Data Date Added: Jun 2012 Format: PDF

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