An FP-Growth Approach to Mining Association Rules

In the field of data mining researchers implements lots of algorithms for improving the performance of mining. This work is also related to that strategy. This work, introduce an idea in this field. Here use Sampling Technique to convert text document in to the appropriate format. This format contains data in the form of word and topic of word. This format take as a input in FPGrowth algorithm for given support value and get association rules of that transaction data, and after getting association rules apply clustering process and then get clusters for that association rules.