Attribute-Oriented Induction and Conceptual Clustering

Oskari Heinonen, and Heikki Mannila: Attribute-Oriented Induction and Conceptual Clustering. Report C-1996-2, Department of Computer Science, University of Helsinki, October 1996. 7 pages. <http://www.cs.helsinki.fi/TR/C-1996/2>

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Abstract

Attribute-oriented induction is a method for knowledge discovery in databases that has recently been described and widely applied by Han et al. In this note we point out the close connection between attribute-oriented induction and conceptual clustering as presented by Pitt & Reinke, and describe how a conceptual clustering algorithm can be used to perform attribute-oriented induction.

Index Terms

Categories and Subject Descriptors:
H.3.3 [Information Systems]: Information Storage and Retrieval - Information Search and Retrieval
I.2.6 [Computing Methodologies]: Artificial Intelligence - Learning
I.5.3 [Computing Methodologies]: Pattern Recognition - Clustering

General Terms: Databases, machine learning, artificial intelligence

Additional Key Words and Phrases: Data mining, knowledge discovery, attribute-oriented induction, conceptual clustering