FINANCIAL FORECASTING USING DECISION TREE (REPTree & C4.5) AND NEURAL NETWORKS (K*) FOR HANDLING THE MISSING VALUES

FINANCIAL FORECASTING USING DECISION TREE (REPTree & C4.5) AND NEURAL NETWORKS (K*) FOR HANDLING THE MISSING VALUES

Missing values are a widespread problem in data analysis. The purpose of this paper is to design a model to handle the missing values in predicting financial health of companies. Forecasting business failure is an important and challenge task for both academic researchers and business practitioners....

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Bibliographic Details
Main Authors: J Jayanthi, Gurpreet Kaur, K Suresh Joseph
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2017-04-01
Series:ICTACT Journal on Soft Computing
Subjects:
Bankruptcy prediction
Missing values
Decision Tree (REPTree
C4.5)
ANN (K*)
Online Access:http://ictactjournals.in/ArticleDetails.aspx?id=3019

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