Uncertain Data Mining: An Example in Clustering Location Data-Reference-Cited by-同舟云学术

Uncertain Data Mining: An Example in Clustering Location Data

Published:2006 Issue: Volume: Page:199-204
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
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Author:

Chau Michael,Cheng Reynold,Kao Ben,Ng Jackey

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11731139_24.pdf

Reference7 articles.

1. Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)

2. Chau, M., Cheng, R., Kao, B.: Uncertain Data Mining: A New Research Direction. In: Proc. Workshop on the Sciences of the Artificial, Hualien, Taiwan (2005)

3. Cheng, R., Kalashnikov, D., Prabhakar, S.: Querying Imprecise Data in Moving Object Environments. IEEE TKDE 16(9), 1112–1127 (2004)

4. Cheng, R., Xia, X., Prabhakar, S., Shah, R., Vitter, J.: Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data. In: Proc. VLDB (2004)

5. Hamdan, H., Govaert, G.: Mixture Model Clustering of Uncertain Data. IEEE International Conference on Fuzzy Systems, 879–884 (2005)

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