Comparison Performance of Qualitative Bankruptcy Classification based on Data Mining Algorithms

• 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; http://umpir.ump.edu.my/id/eprint/19748/; https://doi.org/10.1166/asl.2018.12986
• Institution: Universiti Malaysia Pahang

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...