An Analysis on Qualitative Bankruptcy Prediction Rules using Ant-Miner

A. Martin, T. Miranda Lakshmi, V. Prasanna Venkatesan
2013 International Journal of Intelligent Systems and Applications  
Qualitative bankruptcy prediction rules represent experts' problem-solving knowledge to predict qualitative bankruptcy. The objective of this research is predicting qualitative bankruptcy using antminer algorith m. Qualitative data are subjective and more difficult to measure. This approach uses qualitative risk factors which include fourteen internal risk factors and sixty eight external risk factors associated with it. By using these factors qualitative prediction rules are generated using
more » ... generated using ant-miner algorith m and the influence of these factors in bankruptcy is also analyzed. Ant-Miner algorith m is a application of ant colony optimization and data mining concepts. Qualitative rules generated by ant miner algorith m are validated using measure of agreement. These prediction rules yields better accuracy with lesser number of terms than previously applied qualitative bankruptcy prediction methodologies.
doi:10.5815/ijisa.2014.01.05 fatcat:wfolk3xtefafzbilf2lv3fzvpy