A Predictive System for detection of Bankruptcy using Machine Learning techniques

نویسندگان

  • Kalyan Nagaraj
  • Amulyashree Sridhar
چکیده

Bankruptcy is a legal procedure that claims a person or organization as a debtor. It is essential to ascertain the risk of bankruptcy at initial stages to prevent financial losses. In this perspective, different soft computing techniques can be employed to ascertain bankruptcy. This study proposes a bankruptcy prediction system to categorize the companies based on extent of risk. The prediction system acts as a decision support tool for detection of bankruptcy

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عنوان ژورنال:
  • CoRR

دوره abs/1502.03601  شماره 

صفحات  -

تاریخ انتشار 2015