Abstract:
:This paper describes an approach for deriving classification knowledge from databases, taking into account user preferences. These preferences especially concern the trade-off between different kinds of costs and performance indicators of the classification scheme to be developed. We analyze what knowledge, provided by the user, can be used at various stages of the machine learning process to influences the development of the classifier. We restrict ourselves in this paper mainly to the generation of classification trees.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Karthaus V,Thygesen H,Egmont-Petersen M,Talmon J,Brender J,McNair Pdoi
10.1016/0169-2607(95)01658-gsubject
Has Abstractpub_date
1995-09-01 00:00:00pages
39-44issue
1-2eissn
0169-2607issn
1872-7565pii
0169-2607(95)01658-Gjournal_volume
48pub_type
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