Application of data mining techniques in resources evaluation

Hai Dong Meng, Yu Chen Song, Dinil Pushpalal

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2010 2nd IITA International Conference on Geoscience and Remote Sensing, IITA-GRS 2010
ページ510-513
ページ数4
DOI
出版ステータスPublished - 2010 11 22
イベント2010 2nd IITA Conference on Geoscience and Remote Sensing, IITA-GRS 2010 - Qingdao, China
継続期間: 2010 8 282010 8 31

出版物シリーズ

名前2010 2nd IITA International Conference on Geoscience and Remote Sensing, IITA-GRS 2010
1

Other

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

ASJC Scopus subject areas

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

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