Data Mining andCBR: Complimentary methodologies for building information enhanced decision support system
نویسندگان
چکیده
This paper deals with a help-desk application development for prevention of occupational injuries and thereby minimize sufferings and costs for the society. We have employed data mining and CBR (Case Based Reasoning) techniques as complimentary methodologies for building the application. In the work we have used a database on work related injuries in Sweden. For the data mining part we have used statistical packages, mainly SPSS; and for the CBR application we have used the CBR shell – Recall.
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