KAVAS-2: Knowledge acquisition, visualization and assessment system

Jan Talmon (Corresponding Author), Jytte Brender, Michel Demeester, Panayotis Drosos, Jane Grimson, A.-M. Langsig, Peter McNair, Pirkko Nykänen, Rory O'Moore, A. Rossi-Mori, S. Weber, W. Wilhelm

Research output: Contribution to journalArticle

Abstract

The objective of KAVAS-2 is the development of a tool, named KAVIAR, with which domain experts can make their knowledge explicit. It contains components for (computer assisted) knowledge elicitation and for machine learning. A key issue in KAVAS is the assessment of the quality of the classification and domain models built. Various quality measures are available and implemented in KAVIAR to assess the quality of models, specifically those developed from data bases by machine learning techniques.
Original languageEnglish
Pages (from-to)105-109
Number of pages5
JournalComputer Methods and Programs in Biomedicine
Volume45
Issue number1-2
DOIs
Publication statusPublished - 1994
MoE publication typeA1 Journal article-refereed

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Talmon, J., Brender, J., Demeester, M., Drosos, P., Grimson, J., Langsig, A-M., McNair, P., Nykänen, P., O'Moore, R., Rossi-Mori, A., Weber, S., & Wilhelm, W. (1994). KAVAS-2: Knowledge acquisition, visualization and assessment system. Computer Methods and Programs in Biomedicine, 45(1-2), 105-109. https://doi.org/10.1016/0169-2607(94)90026-4