Research Interests:
Research Interests:
Research Interests:
Research Interests: Computer Science, Software Engineering, Architecture, Data Mining, Educational Data Mining, and 12 moreDistributed Data Mining, Software, Data Stream Mining, Architecture Viewpoints, Simplification of Enterprise Architecture Frameworks, Enterprise Architecture Frameworks, Big Data / Analytics / Data Mining, Viewpoints, Security Issues Related to Data Mining, Spatiotemporal Data Mining, Data Mining and Ethical Issues, and Architecture Framework
Research Interests:
Research Interests: Computer Science, Geographic Information Systems (GIS), Spatiotemporal Databases, Topological Relationships, Topological Relationship Pattern, and 11 moreMODEL VIEW CONTROLLER, Spatiotemporal database, Model-viewcontroller, Mines topological relationship patterns, Handles intermediate results , Registers dependent views and controllers, Creates and initializes its associated controller, Displays spatiotemporal topological, Implements the update procedure to reflect changes in the model, Retrieves knowledge from the model, and Allows controller to select view
Mining topological relationship patterns involve three aspects. First one is the discovery of geometric relationships like disjoint, cover, intersection and overlap between every pair of spatiotemporal objects. Second one is tracking the... more
Mining topological relationship patterns involve three aspects. First one is the discovery of geometric relationships like disjoint, cover, intersection and overlap between every pair of spatiotemporal objects. Second one is tracking the change of such relationships with time from spatiotemporal databases. Third one is mining the topological relationship patterns. Spatiotemporal databases deal with changes to spatial objects with time. The applications in this domain process spatial, temporal and attribute data elements to find the evolution of spatial objects and changes in their topological relationships with time. These advanced database applications require storing, management and processing of complex spatiotemporal data. In this paper we discuss a model-view-controller based architecture of the system, the design of spatiotemporal database and methodology for mining spatiotemporal topological relationship patterns. Prototype implementation of the system is carried out on top of open source object relational spatial database management system called postgresql and postgis. The algorithms are experimented on historical cadastral datasets that are created using OpenJump. The resulting topological relationship patterns are presented.