On the Financial Situation Analysis with KNN and Naive Bayes Classification Algorithms
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Tarih
2020
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Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Classification, a data mining technique, has been applied on the financial parameters usedin the Altman Z-Score formulas for a certain number of selected firms in manufacturing industry. TheAltman Z-Score is used to estimate a firm's financial difficulties. The Z-Score value shows whether thefinancial position of the firm is good, moderate or risky. In this study, KNN and Naive Bayes algorithmsare used as classification methods. The Z-Score values of all firms are calculated and a certain numberof data for all three types are selected and taught to the system as learning data. Algorithms are run onthe financial parameters in the Z-Score formulas of companies not taught to the system. Over all data,The KNN and Naive Bayes algorithms achieve 84–88% and 75–86% success, respectively. This study,where data mining techniques are applied on a finance model and successful results are achieved, willcontribute to the application of different technologies in many different analysis processes of thefinancial sector.
Açıklama
Anahtar Kelimeler
Kaynak
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi
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Cilt
10
Sayı
4
