An Architecture Framework For Spatiotemporal Data Mining System

Abstract

Spatiotemporal data mining is an emerging area of research. Applications for mining different kinds of spatiotemporal 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 of analysis and design. This research paper addresses such a requirement by adopting conceptual model of architecture 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 viewpoints which provide reusability of analysis and design for spatiotemporal data mining applications. The correspondence rules which describe correspondence among the viewpoints are also described.