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 journalArticleScientificpeer-review

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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Knowledge acquisition
Learning systems
Visualization
Databases
Machine Learning

Cite this

Talmon, J., Brender, J., Demeester, M., Drosos, P., Grimson, J., Langsig, A-M., ... 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
Talmon, Jan ; Brender, Jytte ; Demeester, Michel ; Drosos, Panayotis ; Grimson, Jane ; Langsig, A.-M. ; McNair, Peter ; Nykänen, Pirkko ; O'Moore, Rory ; Rossi-Mori, A. ; Weber, S. ; Wilhelm, W. / KAVAS-2 : Knowledge acquisition, visualization and assessment system. In: Computer Methods and Programs in Biomedicine. 1994 ; Vol. 45, No. 1-2. pp. 105-109.
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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.",
author = "Jan Talmon and Jytte Brender and Michel Demeester and Panayotis Drosos and Jane Grimson and A.-M. Langsig and Peter McNair and Pirkko Nyk{\"a}nen and Rory O'Moore and A. Rossi-Mori and S. Weber and W. Wilhelm",
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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, vol. 45, no. 1-2, pp. 105-109. https://doi.org/10.1016/0169-2607(94)90026-4

KAVAS-2 : Knowledge acquisition, visualization and assessment system. / Talmon, Jan (Corresponding Author); Brender, Jytte; Demeester, Michel; Drosos, Panayotis; Grimson, Jane; Langsig, A.-M.; McNair, Peter; Nykänen, Pirkko; O'Moore, Rory; Rossi-Mori, A.; Weber, S.; Wilhelm, W.

In: Computer Methods and Programs in Biomedicine, Vol. 45, No. 1-2, 1994, p. 105-109.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - KAVAS-2

T2 - Knowledge acquisition, visualization and assessment system

AU - Talmon, Jan

AU - Brender, Jytte

AU - Demeester, Michel

AU - Drosos, Panayotis

AU - Grimson, Jane

AU - Langsig, A.-M.

AU - McNair, Peter

AU - Nykänen, Pirkko

AU - O'Moore, Rory

AU - Rossi-Mori, A.

AU - Weber, S.

AU - Wilhelm, W.

N1 - Project code: TTE2112

PY - 1994

Y1 - 1994

N2 - 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.

AB - 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.

U2 - 10.1016/0169-2607(94)90026-4

DO - 10.1016/0169-2607(94)90026-4

M3 - Article

VL - 45

SP - 105

EP - 109

JO - Computer Methods and Programs in Biomedicine

JF - Computer Methods and Programs in Biomedicine

SN - 0169-2607

IS - 1-2

ER -