An Overview of Object-Oriented Frameworks with Application in Spatiotemporal Data Mining
Abstract
An object-oriented framework is a reusable software system providing large scale reuse, including reuse of analysis and design. Frameworks offer reuse of its elements through mechanisms like inheritance and composition and avoid development of applications from scratch. Spatiotemporal data mining has wide variety of applications in transportation systems, surveillance applications, geographical systems and environmental systems. So there is a need to develop a framework that takes care of common requirements at analysis and design level so that spatiotemporal data mining applications can be built through software reuse. The main focus of this paper is to provide an overview of object oriented frameworks, capturing requirements, analysis and design of objectoriented framework for spatiotemporal data mining. The process of reusing the framework for application development is also described and results of such application are provided.