Abstract :
Association rule mining techniques have become most popular among the researchers in data mining
community. One of the well-known technique is Apriori algorithm. Analyzing traditional frequent pattern mining
algorithms reveals some drawbacks. That is, as the time expires certain rules mined from the database become
obsolete. Next, while considering a retail dataset, the customers buying interest changes based on the purchase cost.
These aspects must be considered as a data analyst for designing a better solution. To meet these two challenges in
the mining process, the technique called UTARM. Utility based Temporal Rule Mining is used. To obtain an
optimized results, a Weighted PSO is used. An example illustrating the combined approach is discussed to understand
the importance of the approach in the data mining area. Hope, this article gives a better insight on using the technique
with respect to the retail databases for better decision making.
Keyword :
Apriori, Association Rule Mining, UTARM - Utility based Temporal Association rule mining, Particle Swam Optimization