文章基本信息

标题：MINING FREQUENT PATTERNS FROM SPATIO-TEMPORAL DATA SETS: A SURVEY
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作者：GURRAM SUNITHA Dr. A. RAMA MOHAN REDDY
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：68
期号：2
出版社：Journal of Theoretical and Applied
摘要：Space and time are implicit in every activity of life. Every real-world object has its past, present, future and hence is intrinsically tied up with location and time. Storing spatio-temporal attributes in the databases along with the thematic attributes enriches the data and the inherent knowledge stored in the database. Spatio-temporal databases provide description of real-world phenomenon in a spatio-temporal framework and helps to build information systems and services that are more comprehensive and intelligent. This paper highlights the importance and applications of spatio-temporal pattern mining and provides a brief survey of key mining techniques for discovering three types of spatio-temporal patterns � sequential patterns, co-occurrence patterns and cascaded patterns specifically from event data sets and trajectory data sets.
关键词：Spatio-Temporal Data Mining; Event; Trajectory; Sequential Patterns; Co-occurrence Patterns; Cascaded Patterns