====== Thales Sehn Korting ======

  * Course: Remote Sensing(INPE)
  * Level: PhD
  * Graduation: Computer Engeneering
  * Advisors: Dr. Leila Maria Garcia Fonseca and Dr. Gilberto Câmara
  * Research: Geographical Data Mining
  * Thesis: [[http://wiki.dpi.inpe.br/doku.php?id=thales:thesis_proposal|Link to wiki]]
  * Contact: [[tkorting@dpi.inpe.br]]
  * CV: [[http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4757261T9&dataRevisao=null|Lattes]]

===== Project: GeoDMA - a framework for analyzing spatio-temporal change  =====

==== Abstract ====

The project entitled Geographical Data Mining Analyst - GeoDMA, is a plugin for [[http://www.dpi.inpe.br/terraview/|TerraView]] software, used for geographical data mining. With a single image, the user can perform segmentation, attributes extraction, normalization and classification. More information at [[http://www.dpi.inpe.br/geodma/|GeoDMA homepage]]. This project has started in 2008 and will finish in 2011, with funding resources by CAPES.



==== Methodology ====

{{leila:students:thales:geodma_diagram.png?350|}}

==== Examples ====
In the following figures we show some screenshots of GeoDMA and TerraView interface.

{{leila:students:thales:geodma_and_terraview.png?300|}}

{{leila:students:thales:geodma_visualization.png?200|}}

==== Software ====

GeoDMA is available for download at the [[http://www.dpi.inpe.br/geodma/|GeoDMA official homepage]].

===== Related Publications =====

Full-access to pdf and bibliographic information, in my [[http://www.dpi.inpe.br/~tkorting/|homepage]].

  * Thales Sehn Korting, Luciano Vieira Dutra, Leila Maria Garcia Fonseca. Detecting Rectangular Objects in Urban Imagery - A Re-Segmentation Approach. VISAPP. Lisbon, Portugal. 2009.
  * Thales Sehn Korting, Leila Maria Garcia Fonseca, Maria Isabel Sobral Escada, Gilberto Câmara. GeoDMA - Um sistema para mineração de dados de sensoriamento remoto. Simpósio Brasileiro de Sensoriamento Remoto. Natal, RN, Brasil. 2009.
  * Thales Sehn Korting, Leila Maria Garcia Fonseca, Maria Isabel Sobral Escada, Felipe Castro da Silva, Marcelino Pereira dos Santos Silva. GeoDMA - A novel system for spatial data mining. Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on. Pisa, Italy. 2008.
  * Thales Sehn Korting, Felipe Castro da Silva. WebDMA - Data Mining Analyst Web Service. GI-Days Young Researchers Forum. Munster, Germany. 2007.


===== References =====

  * Bottcher, M. & Hoppner, F. & Spiliopoulou, M. SIGKDD Newsletter, Volume 10, Issue 2. //On Exploiting the Power of Time in Data Mining//, 2008.
  * Han, J. & Kamber, M. Data mining: concepts and techniques Morgan Kaufmann, 2006
  * Hastie, T.; Tibshirani, R. & Friedman, J. //The elements of statistical learning: data mining, inference, and prediction//. Springer, 2001
  * Langran, G. //Time in geographic information systems//. Taylor & Francis, 1992
  * Miller, H. & Han, J. //Geographic data mining and knowledge discovery//. CRC Press, 2001
  * Pelekis, N.; Theodoulidis, B.; Kopanakis, I. & Theodoridis, Y. //Literature review of spatio-temporal database models//. The Knowledge Engineering Review, Cambridge Univ Press, 2005, 19, 235-274
  * Rasinmäki, J.// Modelling spatio-temporal environmental data//. Environmental Modelling & Software, 2003, 18, 877 - 886