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Article
Interrogation of Water Catchment Data Sets Using Data Mining Techniques
ECU Publications Pre. 2011
  • Ajdin Sehovic, Edith Cowan University
  • Leisa Armstrong, Edith Cowan University
  • Dean Diepeveen, Edith Cowan University
Publication Date
1-1-2010
Document Type
Conference Proceeding
Publisher
Edith Cowan University
Faculty
Computing, Health and Science
School
School of Computer & Security Science
RAS ID
10659
Comments
This article was originally published as: Sehovic, A. A., Armstrong, L. , & Diepeveen, D. A. (2010). Interrogation of water catchment data sets using data mining techniques. Proceedings of The 14th Pacific-Asia Conference on Knowledge Discovery for Rural Systems Workshop 2010
Abstract

Current environmental challenges such as increasing dry land salinity, water logging, eutrophication and high nutrient runoff in south western regions of Western Australia (WA) may have both cultural and environmental implications in the near future. Advances in computing through the application of data mining ,and geographic information services provide the tools to conduct •studies that can indicate possible changes in these water catchment areas of WA. The research examines the existing spatial data mining techniques that can be used to interpret trends in WA water catchment land use. Large GIS data sets of the water catchments on Peel-Harvey region have been collected by the Western Australian government. This paper describes the techniques that will be used to explore the large GIS -data sets and provides cluster analysis of a sample subset of the data set as a proof of concept. This research will contribute to the later development of a data mining interrogation tool that measures and validates the effectiveness of different data mining techniques such as: classical statistical methods, cluster analysis and principal component analysis on the sample water catchment data set. The interrogation tool will incorporate some of the geospatial data mining techniques described in this paper to discover meaningful and useful patterns specific to current agricultural problem domain of dry land salinity. This research will contribute towards an understanding of the data mining techniques that can be used in the tool. The tool is expected to be used by government agencies, such as Department of Agriculture and Food, Western Australia researchers and other agricultural industry stakeholders.

Disciplines
Citation Information
Ajdin Sehovic, Leisa Armstrong and Dean Diepeveen. "Interrogation of Water Catchment Data Sets Using Data Mining Techniques" (2010)
Available at: http://works.bepress.com/leisa_armstrong/13/