TY  - JOUR
TI  - On the Financial Situation Analysis with KNN and Naive Bayes Classification Algorithms
AB  - 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.
AU  - Terxi, Naciye Melis
AU  - Gürsoy, Arif
DO  - : 10.21597/jist.703004
PY  - 2020
JO  - Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi
VL  - 10
IS  - 4
SN  - 2146-0574
SP  - 2881
EP  - 2888
DB  - TRDizin
UR  - http://search/yayin/detay/456460
ER  -