Research On Algorithm Of Incremental Updated Association Rules For Massive Data Set

With the development of information techniques, data mining is one of important tasks of artificial intelligence and database research, which has been extensively studied in the past tens of years. Recent studies in data mining have proposed a new classification approach called Associative Classification which integrates both association rule mining and classification task. In this study, an incremental updating technique is applied to associative classification for constructing classification system in order to reduce the execution time. The proposed algorithm, called Incremental Classification Based on Association Rules, is based on the concept of Fast Update algorithm. The experiment results show that the proposed algorithm has execution time faster than CBA algorithm.