Corporate bankruptcy prediction through data mining.

This study examines the use of data mining techniques namely decision tree, neural networks and logistic regression to predict the likelihood of a corporate failure through inputs on companies' financial variables.

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Bibliographic Details
Main Authors: Soh, Amos Sheng En., Lin, Isaac Jia Xin., Ng, Alwyn Liang You.
Other Authors: Koh, Hian Chye
Format: Final Year Project
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/10002
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Institution: Nanyang Technological University
Description
Summary:This study examines the use of data mining techniques namely decision tree, neural networks and logistic regression to predict the likelihood of a corporate failure through inputs on companies' financial variables.