The ICE-Map Visualization

Eckert, Kai

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Corporate creators:	Department of Computer Science ; University of Mannheim
URL:	https://ub-madoc.bib.uni-mannheim.de/29611
URN:	urn:nbn:de:bsz:180-madoc-296116
Document Type:	Working paper
Year of publication:	2011
Place of publication:	Mannheim
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
MADOC publication series:	Veröffentlichungen der Fakultät für Mathematik und Informatik > Institut für Informatik > Technical Reports
Subject:	004 Computer science, internet
Classification:	CCS: H.3.7,
Subject headings (SWD):	Thesaurus , Klassifikation , Ontologie , Visualisierung , Data Mining , Indizierung
Individual keywords (German):	Thesaurus, Klassifikation, Ontologie, Visualisierung, Datamining, Visual Datamining, Indexing
Abstract:	In this paper, we describe in detail the Information Content Evaluation Map (ICE-Map Visualization, formerly referred to as IC Difference Analysis). The ICE-Map Visualization is a visual data mining approach for all kinds of concept hierarchies that uses statistics about the concept usage to help a user in the evaluation and maintenance of the hierarchy. It consists of a statistical framework that employs the the notion of information content from information theory, as well as a visualization of the hierarchy and the result of the statistical analysis by means of a treemap.