Conceptual clustering

Known as: Conceptual, Incremental concept formation 
Conceptual clustering is a machine learning paradigm for unsupervised classification developed mainly during the 1980s. It is distinguished from… (More)
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Highly Cited
2006
Highly Cited
2006
RE CT ED P RO Abstract As more information becomes available on the Web, there has been a crescent interest in effective… (More)
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Highly Cited
1999
Highly Cited
1999
The creation of a complex web site is a thorny problem in. user interface design. In I J C A I '97, we challenged the AI… (More)
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Highly Cited
1998
Highly Cited
1998
We describe in this paper the ML system, ASIUM, which learns subcategorization frames of verbs and ontologies from syntactic… (More)
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Highly Cited
1997
Highly Cited
1997
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing… (More)
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Highly Cited
1997
Highly Cited
1997
Data clustering is an important technique for exploratory data analysis, and has been studied for several years. It has been… (More)
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Highly Cited
1996
Highly Cited
1996
The theory of concept (or Galois) lattices provides a simple and formal approach to conceptual clustering. In this paper we… (More)
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Highly Cited
1993
Highly Cited
1993
The theory of concept (or Galois) lattices provides a natural and formal setting in which to discover and represent concept… (More)
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Highly Cited
1989
Highly Cited
1989
In this paper we describeWitt, a computational model of categorization and conceptual clustering that has been motivated and… (More)
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Highly Cited
1987
Highly Cited
1987
Conceptual clustering is an important way of summarizing and explaining data. However, the recent formulation of this paradigm… (More)
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Highly Cited
1983
Highly Cited
1983
A method for automated construction of classifications called conceptual clustering is described and compared to methods used in… (More)
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