期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：3
出版社：S&S Publications
摘要：The sequential pattern mining on progressive databases is very new approach, in which many researchersprogressively discover the sequential patterns in period of interest. Period of interest is a sliding window continuouslyadvancing as the time goes by. As the focus of sliding window changes, the new items are added to the dataset ofinterest and obsolete items are removed from it and become up to date. In general, the existing proposals do not fullyexplore the real world scenario, such as items associated with support in data stream applications such as market basketanalysis. Thus mining important knowledge from supported frequent items becomes a non trivial research issue. Thispaper present the various works done on progressive sequential pattern mining .This paper presents a review ofsequential pattern-mining techniques in the literature. This paper classifying sequential pattern-mining algorithms basedon important key features supported by the techniques. This classification aims at understanding of sequential patternminingproblems, current status of provided solutions, and direction of research in this area. This paper also tries toprovide a comparative performance analysis of many of the key techniques
关键词：Sequential pattern mining; Progressive databases; Classification of algorithms
