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A State-of-the-Art in Spatio-Temporal Data Warehousing, OLAP and Mining

A State-of-the-Art in Spatio-Temporal Data Warehousing, OLAP and Mining

Leticia Gómez, Bart Kuijpers, Bart Moelans, Alejandro Vaisman
Copyright: © 2011 |Pages: 37
ISBN13: 9781609605377|ISBN10: 1609605373|EISBN13: 9781609605384
DOI: 10.4018/978-1-60960-537-7.ch009
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MLA

Gómez, Leticia, et al. "A State-of-the-Art in Spatio-Temporal Data Warehousing, OLAP and Mining." Integrations of Data Warehousing, Data Mining and Database Technologies: Innovative Approaches, edited by David Taniar and Li Chen, IGI Global, 2011, pp. 200-236. https://doi.org/10.4018/978-1-60960-537-7.ch009

APA

Gómez, L., Kuijpers, B., Moelans, B., & Vaisman, A. (2011). A State-of-the-Art in Spatio-Temporal Data Warehousing, OLAP and Mining. In D. Taniar & L. Chen (Eds.), Integrations of Data Warehousing, Data Mining and Database Technologies: Innovative Approaches (pp. 200-236). IGI Global. https://doi.org/10.4018/978-1-60960-537-7.ch009

Chicago

Gómez, Leticia, et al. "A State-of-the-Art in Spatio-Temporal Data Warehousing, OLAP and Mining." In Integrations of Data Warehousing, Data Mining and Database Technologies: Innovative Approaches, edited by David Taniar and Li Chen, 200-236. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-537-7.ch009

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Abstract

Geographic Information Systems (GIS) have been extensively used in various application domains, ranging from economical, ecological and demographic analysis, to city and route planning. Nowadays, organizations need sophisticated GIS-based Decision Support System (DSS) to analyze their data with respect to geographic information, represented not only as attribute data, but also in maps. Thus, vendors are increasingly integrating their products, leading to the concept of SOLAP (Spatial OLAP). Also, in the last years, and motivated by the explosive growth in the use of PDA devices, the field of moving object data has been receiving attention from the GIS community, although not much work has been done to provide moving object databases with OLAP capabilities. In the first part of this paper we survey the SOLAP literature. We then address the problem of trajectory analysis, and review recent efforts regarding trajectory data warehousing and mining. We also provide an in-depth comparative study between two proposals: the GeoPKDD project (that makes use of the Hermes system), and Piet, a proposal for SOLAP and moving objects, developed at the University of Buenos Aires, Argentina. Finally, we discuss future directions in the field, including SOLAP analysis over raster data.

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