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A Novel Support Vector Machine Metamodel for Business Risk Identification · Study

WorkA Novel Support Vector Machine Metamodel for Business Risk Identification

Kin Keung Lai2006

Work2006

A Novel Support Vector Machine Metamodel for Business Risk Identification

Kin Keung Lai · Lean Yu · Wei Huang · Shouyang Wang

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

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

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References

2022Business Research Methods 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models 2001Application of support vector machines in financial time series forecasting 2004An application of support vector machines in bankruptcy prediction model 2005Corporate Financial Distress and Bankruptcy 2005A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms 2006A Bias-Variance-Complexity Trade-Off Framework for Complex System Modeling

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2021A survey on the suitability of risk identification techniques in the current networked environment

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Year2006

Typeother

Published2006-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations23

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1007/978-3-540-36668-3_118

openalex_workW1559634500

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