In this paper I define spatio-temporal regions as pairs consisting of a spatial and a temporal component and I define topological relations between them. Using the notion of rough sets I define approximations of spatio-temporal regions and relations between those approximations. Based on relations between approximated spatio-temporal regions configurations of spatio-temporal objects can be char...

Spatio-temporal data sets are often very large and difficult to analyze and display. Since they are fundamental for decision support in many application contexts, recently a lot of interest has arisen toward data-mining techniques to filter out relevant subsets of very large data repositories as well as visualization tools to effectively display the results. In this paper we propose a data-mini...

Spatio-temporal databases have become very important in recent years, as many real world applications like, location based services, Geographic information systems, etc need to store real world data which shows spatial as well as temporal characteristics, into database. Many data objects in real world have attributes related to both space and time, and managing them using existing RDBMS is comp...

In this paper, we propose a solution to the problem of designing a flexible query processor for spatio-temporal databases. Our solution is to design a bottom-up interface, whose parameters handle different spatiotemporal applications. We propose a relational schema that can cope with various spatio-temporal data types. Based on this model, we have design a flexible query processor for spatio-te...

Copyright © 2008, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Association rule mining in spatial databases and temporal databases have been studied extensively in data mining research. Most of the research studies have found interesting patterns in either spatial information or temporal information, however, few studie...

The quickly increasing number of spatio-temporal applications in fields like environmental management, geology and mobile communication is a new challenge to the development of database management systems. After discussing the related work we present concepts and implementations for the modelling and persistent management of geological long-period scientific data. The spatio-temporal classes ar...

In order to obtain information and knowledge about moving entities, spatio-temporal data needs to be collected and analyzed. The idea is to establish a generic tracking framework that is able to integrate, combine, process and analyze spatio-temporal data that is obtained from heterogeneous data sources. This framework allows for the establishment of new location-based services for different sc...

Generalized additive models (GAMs) have been widely used. While the procedure for fitting a generalized additive model to independent data has been well established, not as much work has been done when the data are correlated. The currently available methods are not completely satisfactory in practice. A new approach is proposed to fit generalized additive models with spatio-temporal data via t...

The notion of granularity is used in several areas of computing. In temporal databases, granularity relates to the fact that the time frame associated to an event of interest (e.g., an accident) can be envisaged at several levels of detail (e.g., hour, day, month, etc.). Similarly, granularity in data warehousing is the level of detail at which facts (e.g., sales) are captured in dimensions (e....