Comparison Performance of Qualitative Bankruptcy Classification based on Data Mining Algorithms
Bankruptcy classification and prediction are imperative for informed decision making and problem-solving in actual risk assessment. Knowledge discovery using data mining techniques are commonly applied in bankruptcy classification and prediction. This paper presents a comparison of three different c...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Scientific Publisher
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19748/ http://umpir.ump.edu.my/id/eprint/19748/ http://umpir.ump.edu.my/id/eprint/19748/ http://umpir.ump.edu.my/id/eprint/19748/1/50.%20Comparison%20Performance%20of%20Qualitative%20Bankruptcy%20Classification%20based%20on%20Data%20Mining%20Algorithms1.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/19748/http://umpir.ump.edu.my/id/eprint/19748/
http://umpir.ump.edu.my/id/eprint/19748/
http://umpir.ump.edu.my/id/eprint/19748/1/50.%20Comparison%20Performance%20of%20Qualitative%20Bankruptcy%20Classification%20based%20on%20Data%20Mining%20Algorithms1.pdf