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A novel hybrid intelligent approach for contractor default status prediction · Study

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ArticleA novel hybrid intelligent approach for contractor default status prediction

Min‐Yuan Cheng2014

Article2014

A novel hybrid intelligent approach for contractor default status prediction

Min‐Yuan Cheng · Nhat‐Duc Hoang · Lisayuri Limanto · Yu-Wei Wu

31 citations·0/0 files stored·Knowledge-Based Systems

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Financial Distress and Bankruptcy Prediction Imbalanced Data Classification Techniques Evaluation and Optimization Models

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1974ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES*1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models 1974On the Pricing of Corporate Debt: The Risk Structure of Interest Rates 2018What's In A Name? Malay Seals As Onomastic Sources 1998Is the Risk of Bankruptcy a Systematic Risk?2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters 2004Bankruptcy Prediction with Industry Effects

Cited by

2017A support vector machine method for bid/no bid decision making 2017Estimating construction duration of diaphragm wall using firefly-tuned least squares support vector machine 2016Methodological approach of construction business failure prediction studies: a review 2023Bankruptcy Prediction for Micro and Small Enterprises Using Financial, Non-Financial, Business Sector and Macroeconomic Variables: The Case of the Lithuanian Construction Sector 2021

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Details

Year2014

Typearticle

Published2014-08-19

VenueKnowledge-Based Systems

ISSN-L0950-7051

Languageen

Citations31

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.knosys.2014.08.009

openalex_workW2040182148

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Identifying impact of variables in deep learning models on bankruptcy prediction of construction contractors

2018A framework for big data analytics approach to failure prediction of construction firms

2020Development and testing of an augmented distress prediction model: A comparative study on a developed and an emerging market

2016Constructing ZSCORE-based financial crisis warning models using fruit fly optimization algorithm and general regression neural network