期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：4
页码：412-416
语种：English
出版社：Ayushmaan Technologies
摘要：The trajectory of any dynamic object is associated with spaceand time. The idea of motion would turn meaningless if time isseparated from space or vice versa. A novel cascade of space andtime was made and named as patiotemporal (ST) in the domain ofdata mining. Partially ordered sets from a given Boolean ST setare considered to mine patterns. A Cascade Participation Index(CPI) is computed through bottleneck analysis over the data set tomeasure user interest. Based on this value and the directed graphrepresentation the fltering of irrelevant Cascade SpatiotemporalPatterns (CSTP) can be done having the miner nested in theprocess. The result has to be extended to real time data sets toprove validation of content.
关键词：Spatiotemporal;Boolean Spatiotemporal Data Set;Partially Ordered Sets;Cascade Participation Index ;Cascade Spatiotemporal Pattern
