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

Autor:	J Jayanthi, Gurpreet Kaur, K Suresh Joseph
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	Bankruptcy prediction Missing values Decision Tree (REPTree C4.5) ANN (K*) Computer engineering. Computer hardware TK7885-7895
Zdroj:	ICTACT Journal on Soft Computing, Vol 7, Iss 3, Pp 1473-1477 (2017)
Druh dokumentu:	article
ISSN:	0976-6561 2229-6956
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a33a39e5a8d44d808c93417c39ec1e85 Zobrazit plný text záznamu View record in DOAJ