Naïve Bayesian Classifier and Classification Trees for the Predictive Accuracy of Probability of Default Credit Card Clients

American Journal of Data Mining and Knowledge Discovery
doi 10.11648/j.ajdmkd.20180301.11
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Science Publishing Group

Related search

Classification of Hand Gestures Using Gabor Filter With Bayesian and Naïve Bayes Classifier

International Journal of Advanced Computer Science and Applications
Computer Science
2016English

Credit Card Debt and Default Over the Life Cycle

Journal of Money, Credit and Banking
AccountingEconomicsEconometricsFinance
2008English

A New Mixture Model for the Estimation of Credit Card Exposure at Default

European Journal of Operational Research
Information SystemsSimulationManagement ScienceManagementComputer ScienceModelingOperations Research
2016English

Multi-Dimensional Bayesian Network Classifier Trees

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2018English

Mortgage Default: Classification Trees Analysis

SSRN Electronic Journal
2004English

Information Theory Based Feature Selection for Multi-Relational Naïve Bayesian Classifier

Journal of Data Mining in Genomics & Proteomics
2014English

The Predictive Accuracy of Credit Ratings: Measurement and Statistical Inference

SSRN Electronic Journal
2011English

Estimation of Default Probability for Low Default Portfolios

Ekonomika
2012English

Naïve Bayesian Classifier for Selecting Good/Bad Projects During the Early Stage of International Construction Bidding Decisions

Mathematical Problems in Engineering
MathematicsEngineering
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy