Abstract: Classification is an important aspect in data mining research.In this paper, a new associative classification algorithm, fast classification based on multiple association rules (FCMAR), is proposed.This algorithm removes items that do not generate frequent rules so that storage space is saved and efficiency improved.Experimental results show that the FCMAR algorithm is efficient and effective.

Key words: classification, frequent pattern tree (FP-tree), associative classification, data mining