On Reducing Search Space in Discovering During Relationships
Recent years have witnessed increasing effort in discovering interesting patterns from temporal databases, such as A after B, A during B, and so on. This paper focuses on during relationship, which is commonly encountered and important in the realworld applications. In line with the course of thinking of a previous approach (i.e., the DTP algorithm), this paper is aimed at addressing one critical issue of efficiency, namely the search space reduction, in discovering during relationships from large temporal databases. In doing so, a new approach, the C-DTP algorithm in that two operators are introduced to cut down the search space effectively. Data experiments with synthetic and real-world datasets show that the C-DTP algorithm outperforms the DTP algorithm significantly.
Temporal pattern During relationship Data mining
Guoqing CHEN Li ZHANG
School of Economic and Management,Tsinghua University,100084,Beijing,P.R.China
国际会议
北京
英文
2007-05-30(万方平台首次上网日期,不代表论文的发表时间)