Application of data mining techniques in resources evaluation

Hai Dong Meng, Yu Chen Song, Dinil Pushpalal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Due to the complexity of geoscientific data, such as geochemical data, geophysical data and digital remote sensing data, traditional data mining methods, such as cluster analysis and association analysis, have limitations in resources evaluation. In this paper, a clustering algorithm is presented which has the ability to handle clusters of arbitrary shapes, sizes and densities. For association analysis, quantitative association rules aims to deal with the relationships among continuous attributes of geoscientific data objects in resources evaluation. An association analysis algorithm based on the distances between clusters projected on attributes is presented. Applications indicate that the algorithms are effective in real world applications.

Original languageEnglish
Title of host publication2010 2nd IITA International Conference on Geoscience and Remote Sensing, IITA-GRS 2010
Pages510-513
Number of pages4
DOIs
Publication statusPublished - 2010 Nov 22
Event2010 2nd IITA Conference on Geoscience and Remote Sensing, IITA-GRS 2010 - Qingdao, China
Duration: 2010 Aug 282010 Aug 31

Publication series

Name2010 2nd IITA International Conference on Geoscience and Remote Sensing, IITA-GRS 2010
Volume1

Other

Other2010 2nd IITA Conference on Geoscience and Remote Sensing, IITA-GRS 2010
CountryChina
CityQingdao
Period10/8/2810/8/31

Keywords

  • Association analysis
  • Cluster analysis
  • Data mining
  • Geoscientific data
  • Spatial data mining

ASJC Scopus subject areas

  • Geophysics
  • Geotechnical Engineering and Engineering Geology
  • Computer Networks and Communications

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  • Cite this

    Meng, H. D., Song, Y. C., & Pushpalal, D. (2010). Application of data mining techniques in resources evaluation. In 2010 2nd IITA International Conference on Geoscience and Remote Sensing, IITA-GRS 2010 (pp. 510-513). [5602611] (2010 2nd IITA International Conference on Geoscience and Remote Sensing, IITA-GRS 2010; Vol. 1). https://doi.org/10.1109/IITA-GRS.2010.5602611