文章基本信息

标题：An Architecture Framework For Spatiotemporal Data Mining System
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作者：K.Venkateswara Rao ; A.Govardhan ; K.V.Chalapati Rao 等
期刊名称：International Journal of Software Engineering & Applications (IJSEA)
印刷版ISSN：0976-2221
电子版ISSN：0975-9018
出版年度：2012
卷号：3
期号：5
页码：125
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Spatiotemporal data mining is an emerging area of research. Applications for mining different kinds ofspatiotemporal patterns and trends are being developed by researchers in various domains. However,there is a need for underlying architecture framework for these applications to provide reusability ofanalysis and design. This research paper addresses such a requirement by adopting conceptual model ofarchitecture framework described in ISO/IEC 42010:201X standard for Systems and Software Engineering- Architecture Description. This research identifies stakeholders and their concerns, describes context,integration, information, functional, concurrency and technology viewpoints as architectural viewpointswhich provide reusability of analysis and design for spatiotemporal data mining applications. Thecorrespondence rules which describe correspondence among the viewpoints are also described.
关键词：Architecture Framework; Spatiotemporal Data Mining; Viewpoints; Data Mining Issues