文章基本信息

标题：Mining Regular Patterns in Data Streams Using Vertical Format
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作者：Mr. G. Vijay Kumar ; Mr. M. Sreedevi ; Dr. NVS Pavan Kumar 等
期刊名称：International Journal of Computer Science and Security (IJCSS)
电子版ISSN：1985-1553
出版年度：2012
卷号：6
期号：2
页码：142-149
出版社：Computer Science Journals
摘要：The increasing prominence of data streams has been lead to the study of online mining in order to capture interesting trends, patterns and exceptions. Recently, temporal regularity in occurrence behavior of a pattern was treated as an emerging area in several online applications like network traffic, sensor networks, e-business and stock market analysis etc. A pattern is said to be regular in a data stream, if its occurrence behavior is not more than the user given regularity threshold. Although there has been some efforts done in finding regular patterns over stream data, no such method has been developed yet by using vertical data format. Therefore, in this paper we develop a new method called VDSRP-method to generate the complete set of regular patterns over a data stream at a user given regularity threshold. Our experimental results show that highly efficiency in terms of execution and memory consumption.
关键词：regular patterns; data streams; vertical database