A Predictive System for detection of Bankruptcy using Machine Learning techniques

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 Keywords: Bankruptcy, soft computing, decision support tool

• Publication year

  2015

• Venue

  arXiv.org

• Publication date

  2015-01-31

• Fields of study

  Business, Computer Science

• Identifiers
  DOI 10.5121/ijdkp.2015.5103arXiv 1502.03601
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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