title: KAVAS-2: Knowledge Acquisition, Visualization and Assessment System.
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.
authors.affiliation: Department of Medical Informatics, University of Limburg, Maastricht, The Netherlands.
authors.forename: J L
authors.initials: JL
authors.lastname: Talmon
authors.forename: J
authors.initials: J
authors.lastname: Brender
authors.forename: M
authors.initials: M
authors.lastname: Demeester
authors.forename: P
authors.initials: P
authors.lastname: Drosos
authors.forename: J
authors.initials: J
authors.lastname: Grimson
authors.forename: A M
authors.initials: AM
authors.lastname: Langsig
authors.forename: P
authors.initials: P
authors.lastname: McNair
authors.forename: P
authors.initials: P
authors.lastname: Nykänen
authors.forename: R
authors.initials: R
authors.lastname: O'Moore
authors.forename: A
authors.initials: A
authors.lastname: Rossi Mori
mesh_terms: D003198:Computer Simulation; D005069:Evaluation Studies as Topic; D005103:Expert Systems; D008962:Models, Theoretical; D011786:Quality Control; D018511:Systems Integration; D014584:User-Computer Interface