Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Date Added: Oct 2014
There are various algorithms for the frequent pattern mining in the current trends but only frequency of item is not so essential for the data mining. Weight is very important for the business analysis. Weight is nothing but the specific value of the item. So the authors want new techniques for weighted frequent pattern mining. Those algorithms will consider both entities i.e. frequency as well as weight for the data mining. In their paper they have to studied various data structure for arranging the frequent and weighted patterns for mining. Data from data warehouse will regularly change i.e. updated so they want the algorithms which are adoptable for that updatation as well as changing minimum support of the user.