文章基本信息

标题：REGULAR PATTERN MINING ON DYNAMIC DATABASES USING VERTICAL FORMATE ON GIVEN USER REGULARITY THRESHOLD
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作者：M.N.S.Gangadhar ; Dr M.Sreedevi
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：86
期号：3
出版社：Journal of Theoretical and Applied
摘要：Ascertaining stimulating patterns in effervescent databases is often an exigent task in data mining due to number of transactions arriving dynamically with rapid rates, which is ridiculously expensive in mutually time and space. Mining frequent patterns is a outmoded mining technique in data mining applications, which is based on support count of item set. Support count of item set is not only sufficient, regularity is also considered and required to mine interesting patterns in data mining. As of late, standard itemset mining picked up parcel of consideration in information mining research as a result of its event conduct. In this paper we propose a strategy called MRPDyD (mining standard examples on element information bases) to mine general itemsets in element databases utilizing vertical information position. Our MRPDyD system creates complete arrangement of standard examples in element databases for a client given consistency edge. Our exploratory results demonstrate that this strategy is effective in memory use and execution time.
关键词：Regular pattern; Dynamic databases; vertical data format; Sliding window technique