Provided by: International Journal of Computer Informatics & Technological Engineering (IJCITE)
Topic: Data Management
Most of the previous studies on mining association rules are on mining intra-transaction associations, i.e., the associations among items within the same transaction where the notion of the transaction could be the items bought by the same customer, the events happened on the same day, etc. In this paper, the authors break the barrier of transactions and extend the scope of mining association rules from traditional single-dimensional, intra-transaction associations to multidimensional, inter-transaction associations. The support and confidence measures are insufficient at filtering out uninteresting association rules.