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Details for article 10 of 11 found articles
| Title: |
Semi-supervised Rough Cost/Benefit Decisions |
| Author: |
Lingras, Pawan Chen, Min Miao, Duoqian |
| Appeared in: |
Fundamenta informaticae |
| Paging: | Volume 94 (2009) nr. 2 pages 233-244 |
| Year: |
2009-10-27 |
| Contents: |
Most of the business decisions are based on cost and benefit considerations. Data mining techniques that make it possible for the businesses to incorporate financial considerations will be moremeaningful to the decisionmakers. Decision theoretic framework has been helpful in providing a better understanding of classification models. This study describes a semi-supervised decision theoretic rough set model. The model is based on an extension of decision theoretic model proposed by Yao. The proposal is used to model financial cost/benefit scenarios for a promotional campaign in a real-world retail store. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 10 of 11 found articles
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