DocumentCode
2851463
Title
Evaluating attraction in spatial point patterns with an application in the field of cultural history
Author
Salmenkivi, Marko
Author_Institution
Helsinki Inst. for Inf. Technol., Helsinki Univ., Finland
fYear
2004
fDate
1-4 Nov. 2004
Firstpage
511
Lastpage
514
Abstract
Spatial collocation rules are often useful for describing dependencies between spatial features. Still, the commonly used criteria for the interestingness of the rules and the selected neighbourhood constraints for spatial objects may be too rough for capturing the essentials of such dependencies. We demonstrate the difficulties with concrete examples on a large place-name data set. We propose a technique based on simple density estimation for assessing the interesting-ness with different neighbouring constraints.
Keywords
data mining; history; cultural history; density estimation; neighbourhood constraint; spatial collocation rules; spatial point pattern; Artificial intelligence; Character generation; Concrete; Couplings; Cultural differences; Euclidean distance; History; Information technology; Lakes; Rivers;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, 2004. ICDM '04. Fourth IEEE International Conference on
Print_ISBN
0-7695-2142-8
Type
conf
DOI
10.1109/ICDM.2004.10014
Filename
1410348
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