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Support Vector Machines Approach to Credit Assessment · Study

WorkSupport Vector Machines Approach to Credit Assessment

Jianping Li2004

OA

Workbronze2004

Support Vector Machines Approach to Credit Assessment

Jianping Li · Jingli Liu · Weixuan Rosa Xu · Yong Shi

29 citations·0/0 files stored·Lecture notes in computer science

No readable copy stored yet — this record is metadata only.

Financial Distress and Bankruptcy Prediction Data Mining and Machine Learning Applications Imbalanced Data Classification Techniques

Abstract

No abstract was published for this record.

Citations in this library

Stored only when both papers are in the corpus — 29 citations exist upstream.

References

2001Application of support vector machines in financial time series forecasting 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions 2003Credit rating analysis with support vector machines and neural networks: a market comparative study 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress 2001Financial time series prediction using least squares support vector machines within the evidence framework 2002Modified support vector machines in financial time series forecasting

Cited by

2008A Decision Tree Scoring Model Based on Genetic Algorithm and K-Means Algorithm

Details

Year2004

Typeother

Published2004-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations29

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

Identifiers

doi10.1007/978-3-540-25944-2_115

openalex_workW2149690568

Links

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