View-angles of spatial data mining

Shuliang Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This paper proposes a view-angle of spatial data mining to match the various demands on spatial data mining. Describing the various demands from different users under different spatial conditions, the view-angles of spatial data mining is to discover the knowledge with various granularities from amounts of spatial data by using a certain mining algorithms. First, the view-angle of spatial data mining is defined within its intension and extension. Second, the view-angle based algorithms are presented. Finally, as a case study, the techniques are applied to mine Baota landslide-monitoring database. The results are satisfactory.

Original languageEnglish
Pages (from-to)1058-1063
Number of pages6
JournalQinghua Daxue Xuebao/Journal of Tsinghua University
Volume46
Issue numberSUPPL.
Publication statusPublished - Jun 2006
Externally publishedYes

Keywords

  • Granularity mining
  • Mining view-angle
  • Spatial data

Fingerprint

Dive into the research topics of 'View-angles of spatial data mining'. Together they form a unique fingerprint.

Cite this