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DATA MINING ALGORITHM FOR ANALYZING SPATIAL TIME SERIES ON CROP PRODUCTION

Onkov, Kolyo, Dimova, Delyana

First published: 2013-06-20https://doi.org/10.5593/sgem2013/bb2.v1/s07.009View metrics

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Publication details

Title
DATA MINING ALGORITHM FOR ANALYZING SPATIAL TIME SERIES ON CROP PRODUCTION
Authors
Onkov, Kolyo, Dimova, Delyana
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2013
Pages
69 - 76 pp
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
References28
  1. Agrawal R. & Gupta A. & Sarawagi S. Modeling multidimensional databases, Proceedings of 13-th International conference on Data Engineering, USA, pp 232- 243, 1997.

  2. Pedersen T.B. & Jensen C.S. Multidimensional database technology, Computer, vol. 34, pp 40-46, 2001.

  3. Malinowski E. & Zimaґnyi E. A conceptual model for temporal data warehouses and its transformation to the ER and the object-relational models, Elsevier Journal Data & Knowledge Engineering, vol. 64, pp 101-133, 2008.

  4. Chamoni P. & Stock St. Temporal Structures in Data Warehousing , In Data Warehousing and Knowledge Discovery (DaWaK), Italy, pp 353-358,1999.

  5. Ramakrishnan, R. Database Management Systems, McGraw Hill, 2003.

  6. Han J. & Lakshmanan L.V.S. & Ng R.T. Constraint-based, multi-dimensional data mining, Computer, vol. 32, pp 46-50, 1999.

  7. Leung, Y. Knowledge Discovery in Spatial Data, Springer Berlin Heidelberg, 2009.

  8. Feng Q. & Miao D. & Cheng Y. Hierarchical decision rules mining, Elsevier International Journal of Expert Systems with Applications, vol. 37, 2081-2091, 2010.

  9. Fu Tak-chung. A review on time series data mining, Engineering Applications of Artificial Intelligence, vol. 24, pp. 164-181, 2011.

  10. Fuchs E. & Gruber T. & Pree H. & Sick B. Temporal data mining using shape space representations of time series, Neurocomputing Journal, vol. 74, pp 379-393, 2010.

  11. Setiawan Y. & Kunihiko Y. Change detection in land-use and land-cover dynamics at a regional scale from modis time-series imagery, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXII ISPRS Congress, September 2012, Melbourne, Australia, vol. I-7, pp 243-248, 2012.

  12. You L. & Spoor M. & Ulimwengu J . & Zhang S. Land use change and environmental stress of wheat, rice and corn production in China, China Economic Review, vol. 22, issue 4, pp 461-473, 2011.

  13. Hicke J. & Lobell D. & Asner G. Cropland Area and Net Primary Production Computed from 30 Years of USDA Agricultural Harvest Data, Earth Interactions Journal, v ol. 8, issue 10, pp 1-20, 2004.

  14. Onkov K. & Stoyanova D. Software Platform for Statistical Time Series Structuring and Analysis, World Conference on Information Technology, Barcelona, Spain, December 2012 , (Imprint: Elsevier, Procedia Social and Behavioral Sciences Journal). GeoConference on Informatics, Geoinformatics and Remote Sensing

  15. Agrawal R. & Gupta A. & Sarawagi S. Modeling multidimensional databases, Proceedings of 13-th International conference on Data Engineering, USA, pp 232- 243, 1997.

  16. Pedersen T.B. & Jensen C.S. Multidimensional database technology, Computer, vol. 34, pp 40-46, 2001.

  17. Malinowski E. & Zimaґnyi E. A conceptual model for temporal data warehouses and its transformation to the ER and the object-relational models, Elsevier Journal Data & Knowledge Engineering, vol. 64, pp 101-133, 2008.

  18. Chamoni P. & Stock St. Temporal Structures in Data Warehousing , In Data Warehousing and Knowledge Discovery (DaWaK), Italy, pp 353-358,1999.

  19. Ramakrishnan, R. Database Management Systems, McGraw Hill, 2003.

  20. Han J. & Lakshmanan L.V.S. & Ng R.T. Constraint-based, multi-dimensional data mining, Computer, vol. 32, pp 46-50, 1999.

  21. Leung, Y. Knowledge Discovery in Spatial Data, Springer Berlin Heidelberg, 2009.

  22. Feng Q. & Miao D. & Cheng Y. Hierarchical decision rules mining, Elsevier International Journal of Expert Systems with Applications, vol. 37, 2081-2091, 2010.

  23. Fu Tak-chung. A review on time series data mining, Engineering Applications of Artificial Intelligence, vol. 24, pp. 164-181, 2011.

  24. Fuchs E. & Gruber T. & Pree H. & Sick B. Temporal data mining using shape space representations of time series, Neurocomputing Journal, vol. 74, pp 379-393, 2010.

  25. Setiawan Y. & Kunihiko Y. Change detection in land-use and land-cover dynamics at a regional scale from modis time-series imagery, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXII ISPRS Congress, September 2012, Melbourne, Australia, vol. I-7, pp 243-248, 2012.

  26. You L. & Spoor M. & Ulimwengu J . & Zhang S. Land use change and environmental stress of wheat, rice and corn production in China, China Economic Review, vol. 22, issue 4, pp 461-473, 2011.

  27. Hicke J. & Lobell D. & Asner G. Cropland Area and Net Primary Production Computed from 30 Years of USDA Agricultural Harvest Data, Earth Interactions Journal, v ol. 8, issue 10, pp 1-20, 2004.

  28. Onkov K. & Stoyanova D. Software Platform for Statistical Time Series Structuring and Analysis, World Conference on Information Technology, Barcelona, Spain, December 2012 , (Imprint: Elsevier, Procedia Social and Behavioral Sciences Journal). GeoConference on Informatics, Geoinformatics and Remote Sensing

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