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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Format: | Article |
Language: | English |
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ICT Academy of Tamil Nadu
2017-04-01
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Series: | ICTACT Journal on Soft Computing |
Subjects: | |
Online Access: | http://ictactjournals.in/ArticleDetails.aspx?id=3019 |
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author | J Jayanthi Gurpreet Kaur K Suresh Joseph |
author_facet | J Jayanthi Gurpreet Kaur K Suresh Joseph |
author_sort | J Jayanthi |
collection | DOAJ |
description | 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. In this study, we compare the classification of accuracy in decision tree methods (REP tree, C4.5) and with ANN method (K*) to handle the missing values. |
first_indexed | 2024-04-14T00:49:56Z |
format | Article |
id | doaj.art-a33a39e5a8d44d808c93417c39ec1e85 |
institution | Directory Open Access Journal |
issn | 0976-6561 2229-6956 |
language | English |
last_indexed | 2024-04-14T00:49:56Z |
publishDate | 2017-04-01 |
publisher | ICT Academy of Tamil Nadu |
record_format | Article |
series | ICTACT Journal on Soft Computing |
spelling | doaj.art-a33a39e5a8d44d808c93417c39ec1e852022-12-22T02:21:50ZengICT Academy of Tamil NaduICTACT Journal on Soft Computing0976-65612229-69562017-04-017314731477FINANCIAL FORECASTING USING DECISION TREE (REPTree & C4.5) AND NEURAL NETWORKS (K*) FOR HANDLING THE MISSING VALUESJ Jayanthi0Gurpreet Kaur1K Suresh Joseph2Lovely Professional University, IndiaLovely Professional University, IndiaPondicherry University, IndiaMissing 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. In this study, we compare the classification of accuracy in decision tree methods (REP tree, C4.5) and with ANN method (K*) to handle the missing values.http://ictactjournals.in/ArticleDetails.aspx?id=3019Bankruptcy predictionMissing valuesDecision Tree (REPTreeC4.5)ANN (K*) |
spellingShingle | J Jayanthi Gurpreet Kaur K Suresh Joseph FINANCIAL FORECASTING USING DECISION TREE (REPTree & C4.5) AND NEURAL NETWORKS (K*) FOR HANDLING THE MISSING VALUES ICTACT Journal on Soft Computing Bankruptcy prediction Missing values Decision Tree (REPTree C4.5) ANN (K*) |
title | FINANCIAL FORECASTING USING DECISION TREE (REPTree & C4.5) AND NEURAL NETWORKS (K*) FOR HANDLING THE MISSING VALUES |
title_full | FINANCIAL FORECASTING USING DECISION TREE (REPTree & C4.5) AND NEURAL NETWORKS (K*) FOR HANDLING THE MISSING VALUES |
title_fullStr | FINANCIAL FORECASTING USING DECISION TREE (REPTree & C4.5) AND NEURAL NETWORKS (K*) FOR HANDLING THE MISSING VALUES |
title_full_unstemmed | FINANCIAL FORECASTING USING DECISION TREE (REPTree & C4.5) AND NEURAL NETWORKS (K*) FOR HANDLING THE MISSING VALUES |
title_short | FINANCIAL FORECASTING USING DECISION TREE (REPTree & C4.5) AND NEURAL NETWORKS (K*) FOR HANDLING THE MISSING VALUES |
title_sort | financial forecasting using decision tree reptree c4 5 and neural networks k for handling the missing values |
topic | Bankruptcy prediction Missing values Decision Tree (REPTree C4.5) ANN (K*) |
url | http://ictactjournals.in/ArticleDetails.aspx?id=3019 |
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