credit scoring

Ali-loan does not charge for its credit-scoring service for business borrowers, and says it has no plans to.

The SAS customer analytics application demonstrates that the existing credit-scoring application can be enabled to run in grid environments.

In this real-world example, the customer analytics application being used to deliver customer insight is a SAS credit-scoring application.

Results demonstrate that the Bayesian network classifiers based on MOR are able to reduce effectively the credit scoring risk.

Credit risk is the main risk in the credit card program. Credit scoring is widely used in evaluating the personal credit risk.

Undeveloped credit scoring and a lack of transparency hamper their ability to issue retail loans.

In evaluating consumer loan requests, what are the major advantages and disadvantages of using credit scoring system?

This paper integrated MOR (minimum overall risk rule) into Bayesian network classifiers, and proposed new credit scoring models.

In the US, the lender Capital One built its business on rich consumer profiling through tracking buying habits and credit scoring.

The application of data mining classification techniques in credit scoring involves the process of building and selecting optimal models.

Experian, a credit-scoring firm, reckons that by the end of 2009 almost one in six shops will be standing empty as yet more stores close.

Credit Scoring across the SME account life cycle ?

Conceptually, a customized credit scoring system should be more accurate than a generic one.

In chapter three, the focus is on the model construction for personal credit scoring by logistic regression.

There are many methods of credit-scoring. This paper uses survival analysis tools to build credit-scoring models.

Credit scoring also considers on-time payments, your credit history and other items.

At the same time, analysis obstacles of credit scoring model in China SMEs Loan Application, and proposed the corresponding countermeasures.

That is because the credit scoring system could penalize you if you use a lot of credit each month, even if you always pay in full .

A Study of Personal Credit Scoring Models on Support Vector Machine with Optimal Choice of Kernel Function Parameters

Credit Scoring via Principal Component Analysis Linear-weighted Comprehensive Assessment and Application

A Strategy of Optimizing Neural Networks by Genetic Algorithm and Its Application on Credit Scoring

consumer metrics; credit scoring and data mining; forecasting; information systems strategy; introduction to marketing;

The Application of the Credit Scoring Model to Evaluation of Small -and- Medium Sized Enterprises'Credit Risk

Credit Card Risk; Behavioral Finance Theory; Credit Scoring Models; Credit Reporting System;

The Application of Feature Selection Methods in Variables Selections For Credit Scoring Models

A Comparison Research of Soft Computing Applied to Credit Scoring

Setting up Consumption Credit Scoring Model by Statistics Technique

A Study on Personal Credit Scoring Using Linear Discriminant Analysis

Study on Strategy of Personal Credit Scoring on Support Vector Machines

Application of Support Vector Machine in the Customer's Credit Scoring

Application of Combining Forecast Model Based on Statistical Methods Optimized by GA in Personal Credit Scoring

Study on Prediction Ability of Credit Scoring System Based on Neural Network Using Back Propagating Algorithm

Study on Credit Scoring Model and Forecasting Based on Probabilistic Neural Network

Study on Chinese personal credit scoring based on data envelopment analysis

Combining forecasts of personal credit scoring based on RBF neural network

The Principle of Credit Scoring

Research on Personal Credit Scoring Model based on Clustering

The Credit Scoring System Based On Support Vector Machine

How Credit Scoring Helps You