Comparison Performance of Qualitative Bankruptcy Classification based on Data Mining Algorithms

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...

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Bibliographic Details
Main Authors: Nilam Nur Amir, Sjarif, Yee, Fang Lim, NurulHuda, Mohd Firdaus Azmi, Kamalia, Kamardin, Doris Wong, Hooi Ten, Hafiza, Abas, Mubarak-Ali, Al-Fahim
Format: Article
Language:English
Published: American Scientific Publisher 2018
Subjects:
QA76 Computer software
Online Access: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/19748/1/50.%20Comparison%20Performance%20of%20Qualitative%20Bankruptcy%20Classification%20based%20on%20Data%20Mining%20Algorithms1.pdf

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