Title

Interactive Knowledge Frontier Discovery With Cobweb-Kfd

Abstract

Knowledge frontier discovery is a novel technique for identifying interesting subpopulations of a dataset with respect to classification performance. A knowledge frontier is a collection of meaningful groups where any sub-partition with significantly different predictive accuracy is not meaningful. This research introduces knowledge frontiers and knowledge frontier discovery. The first knowledge frontier discovery algorithm, COBWEB-KFD, is also described in detail. Knowledge frontier discovery extends clustering and subgroup discovery to provide information that those techniques cannot. Copyright © 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Publication Date

10-19-2010

Publication Title

Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23

Number of Pages

442-443

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

77957859210 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/77957859210

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