Distance Based Approaches to Relational Learning and Clustering-Reference-Cited by-同舟云学术

Distance Based Approaches to Relational Learning and Clustering

Published:2001 Issue: Volume: Page:213-232
ISSN:
Container-title:Relational Data Mining
language:
Short-container-title:

Author:

Kirsten Mathias,Wrobel Stefan,Horváth Tamás

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-04599-2_9

Reference25 articles.

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2. U. Bohnebeck, T. Horväth, and S. Wrobel. Term comparisons in first-order similarity measures. In Proceedings of the Eighth International Conference on Inductive Logic Programming, pages 65–79. Springer, Berlin, 1998.

3. W. Dillon and M. Goldstein. Multivariate analysis, pages 157–208. John Wiley and Sons, Chichester, 1984.

4. S. Dzeroski, S. Schulze-Kremer, K. Heidtke, K. Siems, and D. Wettschereck. Diterpene structure elucidation from 13C NMR spectra with machine learning. In N. Lavrač, E. Keravnou, and B. Zupan, editors, Intelligent Data Analysis in Medicine and Pharmacology, pages 207–225. Kluwer, Boston, 1997.

5. W. Emde and D. Wettschereck. Relational Instance-Based Learning. In Proceedings of the Thirteen International Conference on Machine Learning, pages 122–130. Morgan Kaufmann, San Francisco, CA, 1996.

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