Discovery of Frequent Itemset and Promising Frequent Itemset Using Incremental Association Rule Mining Over Stream Data Mining?
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 5)Publication Date: 2014-05-30
Authors : Anju Kakkad; Anita Zala;
Page : 923-929
Keywords : incremental association rule mining; promising frequent itemset; dynamic database;
Abstract
Data mining is a technique to extract interesting knowledge from large data sets. One of the most used techniques in data mining is association rule mining technique which discovers rule. Discovering rule is one of the most interesting are of research in data mining. Now a days databases are became as the time goes in database new transactions are added and some old transaction may be deleted. For this traditional association rule mining is not working so that incremental association rule mining techniques come in scenario. As the time goes new rules may be generated and old rule may be obsolete. In this paper I have proposed new technique for finding rule with incremental association rule mining to provide faster execution without rescanning of original database.
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Last modified: 2014-05-29 23:53:43