期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2010
卷号：2
页码：279-288
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：The discovery of unexpected behaviors in databases is an interesting problem for many real-world applications. In previous studies, unexpected behaviors are primarily addressed within the context of patterns, association rules, or sequences. In this paper, we study the unexpectedness with respect to the fuzzy recurrence behaviors contained in sequence databases. We first propose the notion of fuzzy recurrence rule, and then present the problem of mining unexpected sequences that con- tradict prior fuzzy recurrence rules. We also develop, UFR, an algorithm for discovering the sequences containing un expected recurrence behaviors. The proposed approach is evaluated with Web access log data.
