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Tutorial on Spatial and Spatio-Temporal Data Mining (IEEE ICDM 2010) – December, Sydney Australia

Prof. Dr. Vania Bogorny

The recent advances and price reduction of technologies for collecting spatial and spatio-temporal data like Satellite Images, Cellular Phones, Sensor Networks, and GPS devices has facilitated the collection of data referenced in space and time. These huge collections of data often hide interesting information which conventional systems are unable to discover. Spatial and spatio-temporal data require complex data preprocessing, transformation, data mining, and post-processing techniques to extract novel, useful, and understandable patterns. The importance of spatial and spatio-temporal data mining is growing with the increasing incidence and importance of large geo-spatial datasets such as maps, repositories of remote-sensing images, trajectories of moving objects generated by mobile devices, etc. Applications include Mobile-commerce industry (location-based services), climatological effects of El Nino, land-use classification and global change using satellite imagery, finding crime hot spots, local instability in traffic, migration of birds, fishing control, and so on.

The main goal of this tutorial is to disseminate this research field, giving an overview of the current state of the art and the main methodologies and algorithms for spatial and spatio-temporal data mining. This tutorial is directed to researches and practitioners, experts in data mining, analysts of spatial and spatio-temporal data, as well as knowledge engineers and domain experts from different application areas.


Material: Tutorial.zip


Universidade Federal de Santa Catarina
Departamento de Informática e Estatística (UFSC-CTC-INE)
CEP 88040-900 - Campus Universitário Cx.P. 476
Florianópolis S.C.
Phone: +55 048 3721-4728
Fax: +55 048 3721-7553

E-mail: vania AT inf [DOT] ufsc [DOT] br