Conceptual Clustering in Structured Domains: A Theory Guided Approach-Reference-Cited by-同舟云学术

Conceptual Clustering in Structured Domains: A Theory Guided Approach

Published:1994 Issue: Volume: Page:395-404
ISSN:1431-8814
Container-title:New Approaches in Classification and Data Analysis
language:
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Author:

Esposito Floriana

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-51175-2_45

Reference14 articles.

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2. DIDAY, E., SIMON, J.C. (1976): Clustering Analysis. In: K.S. Fu (ed.) Digital Pattern Recognition Springer Verlag, 47–94.

3. ESPOSITO, F. (1990): Automatic Acquisition of Production Rules by Empirical Supervised Learning Methods. In: M. Schader, W. Gaul (eds.): Knowledge, Data and Computer Assisted Decisions Springer Verlag, 35–48.

4. ESPOSITO, F., MALERBA, D., SEMERARO, G. (1991a): Classification of Incomplete Structural Descriptions using a Probabilistic Distance Measure. In: E. Diday and Y. Lechevallier (eds.): Symbolic-Numeric Data Analysis and Learning Nova Science Pub., New York, 469–482.

5. ESPOSITO, F., MALERBA, D., SEMERARO, G. (1991b): Flexible Matching for noisy structural descriptions. In Proc. of 12th Int. Conf. on Artificial Intelligence. Sidney, Australia, Morgan Kaufmann, 658–664.

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1. Dissimilarity measure for collections of objects and values;Advances in Intelligent Data Analysis Reasoning about Data;1997

2. Classification of Concepts Through Products of Concepts and Abstract Data Types;Studies in Classification, Data Analysis, and Knowledge Organization;1996