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• W2016613412 abstract "A knowledge-acquisition system was designed and built to help an architectural firm automate their diagnosis of building problems. The system was tailored to the firm's database system and building survey method. Rules are generated from the data by the induction learning algorithms ID3 or AQ11 and the orderly development of the rule-base is ensured by a verification procedure. Architectural diagnostics rely on the expertise of an experienced analyst. Building diagnostic processes require spatial, verbal and numerical reasoning. The rigid data structure imposed by the firm excluded crucial levels of semantic information. Induction methods proved useful tools for organizing data, but the expertise was captured by ad hoc editing of the rule-base. This project identified a need in the building industry to develop a taxonomy and a representation to support the building diagnostic process." @default.
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• W2016613412 date "1989-12-01" @default.
• W2016613412 modified "2023-09-26" @default.
• W2016613412 title "House calls: building and maintaining a rule-base" @default.
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• W2016613412 doi "https://doi.org/10.1016/s1042-8143(89)80012-3" @default.
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