GeoDMA A novel system for spatial data mining

Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008

Volumn , Issue , 2008, Pages 975-978

  Korting, Thales Sehn ^a   Fonseca, Leila Maria Garcia ^a   Escada, Maria Isabel Sobral ^a   Da Silva, Felipe Castro ^a   Dos Santos Silva, Marcelino Pereira ^b  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

^b DEPARTAMENTO DE FÍSICA   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION MANAGEMENT; LAND USE; REMOTE SENSING;

BRAZILIAN AMAZONS; DATA MANIPULATIONS; EARTH OBSERVATION SATELLITES; INFORMATION EXTRACTIONS; LAND USE CHANGES; LARGE DATA SETS; NEW SYSTEMS; OPERATIONAL ENVIRONMENTS; REMOTE SENSING DATUM; SPATIAL DATA MININGS; TEST CASE;

TECHNICAL PRESENTATIONS;

EID: 62449120696     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2008.22     Document Type: Conference Paper

References (15)

1. S. Aksoy, K. Koperski, C. Tusk, and G. Marchisio. Interactive training of advanced classifiers for mining remote sensing image archives. Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining, pages 773-782, 2004.
2. G. Câmara, R. Souza, U. Freitas, and J. Garrido. Spring: Integrating remote sensing and gis by object-oriented data modelling. Computers & Graphics, 20(3):395-403, 1996.
3. G. Câmara, D. Valeriano, and J. Soares. Metodologia para o Cálculo da Taxa Anual de Desmatamento na Amazônia Legal. INPE, São José dos Campos, Brazil. Available at http://www.obt.inpe.br/ prodes/metodologia.pdf (retrieved 2005-08-10), 2004.
4. U. Fayyad and K. Irani. The Attribute Selection Problem in Decision Tree Generation. AAAI-92: Proceedings Tenth National Conference on Artificial Intelligence/July 12-16, 1992, 1001:48109, 1992.
5. T. Kohonen. Self-Organizing Maps. Springer, 2001.
6. E. Lambin, H. Geist, and E. Lepers. Dynamics of land-use and land-cover change in tropical regions. Annual Review of Environment and Resources, 28(1):205-241, 2003.
7. K. McGarigal and B. Marks. FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. Portland, Or.: US Dept. of Agriculture, Forest Service, 1995.
8. J. Oliveira, L. Dutra, and C. Rennó. Aplicação de Métodos de Extração e Seleção de Atributos para Classificação de Regiões. XII SBSR, pages 4201-4208, 2005.
9. J. Quinlan. C4. 5: Programs for Machine Learning. Morgan Kaufmann, 1993.
10. J. Rushing, R. Ramachandran, U. Nair, S. Graves, R. Welch, and H. Lin. ADaM: a data mining toolkit for scientists and engineers. Computers and Geosciences, 31(5), 2005.
11. M. Schroder, H. Rehrauer, K. Seidel, and M. Datcu. Interactive learning and probabilistic retrieval in remote sensingimage archives. Geoscience and Remote Sensing, IEEE Transactions on, 38(5 Part 1):2288-2298, 2000.
12. F. C. Silva, T. S. Korting, L. M. G. Fonseca, and M. I. S. Escada. Deforestation pattern characterization in the Brazilian Amazonia. SBSR, 2007.
13. M. Silva, G. Câmara, R. Souza, D. Valeriano, and M. Escada. Mining Patterns of Change in Remote Sensing Image Databases. Proceedings of the Fifth IEEE International Conference on Data Mining, pages 362-369, 2005.
14. M. Turner. Landscape Ecology: The Effect of Pattern on Process. Annual Reviews in Ecology and Systematics, 20(1):171-197, 1989.
15. I. Witten and E. Frank. Data mining: practical machine learning tools and techniques with Java implementations. ACM SIGMOD Record, 31(1):76-77, 2002.