Data Mining for Bankruptcy Prediction: An Experiment in Vietnam
نویسندگان
چکیده
منابع مشابه
Corporate bankruptcy prediction using data mining techniques
The interest in the prediction of corporate bankruptcy is increasing due to the implications associated with this phenomenon (e.g. economic, and social) for investors, creditors, competitors, government, although this is a classical problem in the financial literature. Two kinds of models are generally adopted for bankruptcy prediction: (i) accounting ratios based models and (ii) market based m...
متن کاملComparative analysis of data mining methods for bankruptcy prediction
Article history: Received 11 March 2011 Received in revised form 3 August 2011 Accepted 4 October 2011 Available online 13 October 2011
متن کاملPersonal bankruptcy prediction by mining credit card data
A personal bankruptcy prediction system running on credit card data is proposed. Personal bankruptcy, which usually results in significant losses to creditors, is a rapidly increasing yet little understood phenomenon. The most commonly used methods in personal bankruptcy prediction are credit scoring models. Some data mining models have also been investigated in this domain. Neither the scoring...
متن کاملMultiple Criteria Linear Programming Data Mining Approach: An Application for Bankruptcy Prediction
Data mining is widely used in today’s dynamic business environment as a manager’s decision making tool, however, not many applications have been used in accounting areas where accountants deal with large amounts of operational as well as financial data. The purpose of this research is to propose a multiple criteria linear programming (MCLP) approach to data mining for bankruptcy prediction. A m...
متن کاملBankruptcy Prediction with Missing Data
Bankruptcy prediction have been widely studied as a binary classification problem using financial ratios methodologies. When calculating the ratios, it is common to confront missing data problem. Thus, this paper proposes a classification method Ensemble Nearest Neighbors (ENN) to solve it. ENN uses different nearest neighbors as ensemble classifiers, then make a linear combination of them. Ins...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Science and Information Systems (FedCSIS), 2019 Federated Conference on
سال: 2022
ISSN: ['2300-5963']
DOI: https://doi.org/10.15439/2021km30