Feature Selection for Temporal Health Records-Reference-Cited by-同舟云学术

Feature Selection for Temporal Health Records

Published:2001 Issue: Volume: Page:198-209
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Baxter Rohan A.,Williams Graham J.,He Hongxing

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45357-1_24

Reference8 articles.

1. E. Arjas, H. Mannila, M. Salmenkivi, R. Suramo, and H. Toivonen. Bass: Bayesian analyzer of event sequences. In Proceedings in Computational Statistics (COMP-STAT’96), pages 199–204. Barcelona, Spain, Physica-Verlag, 1996.

2. I. Cadez and P. Smyth. Probabilistic clustering using hierarchical models. Technical Report 99-16, Department of Information and Computer Science, University of California, Irvine, March 1999.

3. A. Jain and R. Dubes. Algorithms for Clustering. Prentice-Hall, Englewood Cliffs, NJ, 1988.

4. Huan Liu and Hiroshi Motoda. Feature Selection for knowledge discovery and data mining. Kluwer, 1998.

5. P. Moen. Attribute, Event Sequence, and Event Type Similarity Notions for Data Mining. PhD thesis, Dept. of Computer Science, University of Helsinki, Finland, 2000.

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