FARICS: a method of mining spatial association rules and collocations using clustering and Delaunay diagrams-Reference-Cited by-同舟云学术

FARICS: a method of mining spatial association rules and collocations using clustering and Delaunay diagrams

Published:2009-01-21 Issue:1 Volume:33 Page:41-64
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Bembenik Robert,Rybiński Henryk

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10844-008-0076-1.pdf

Reference31 articles.

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2. Bembenik, R. (2007). Methods of mining data from spatial information systems. Ph.D. thesis, Warsaw University of Technology (in Polish).

3. Bembenik, R., & Protaziuk, G. (2004). Mining spatial association rules. In Proc. of IIS:IIP WM’04 (pp. 3–12). Zakopane, Poland: Springer Verlag.

4. de Bert, M., Schwarzkopf, O., von Kreveld, M., & Overmars, M. (2000). Computational geometry: Algorithms and applications. Heidelberg: Springer.

5. Ester, M., Kriegel, H. P., & Sander, J. (1997). Spatial data mining: A database approach. In Proc. of the 5th int. symposium on large spatial databases (SSD’97). Berlin: Lecture Notes in Computer Science.

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