A Study of Integrating Support-Vector-Machine (SVM) Model and Market-based Model in Predicting Taiwan Construction Contractor Default
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저자
Han-Tang Huang
Hui-Ping Tserng
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제어번호
105944313
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학술지명
KSCE Journal of Civil Engineering
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권호사항
Vol.
22
No.
12
[
2018
]
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발행처
대한토목학회
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자료유형
학술저널
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수록면
4750-4759
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언어
English
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출판년도
2018
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등재정보
KCI등재
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소장기관
경북대학교 중앙도서관
영남대학교 과학도서관
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판매처
'
A Study of Integrating Support-Vector-Machine (SVM) Model and Market-based Model in Predicting Taiwan Construction Contractor Default' 의 참고문헌
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ZETATM analysis A new model to identify bankruptcy risk of corporations
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Trends in Construction Contractor Financial Data
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The relationship between default prediction and lending profits: Integrating ROC analysis and loan pricing
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The pricing of options and corporate liabilities
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The early stages of financial distress
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The Merger/Bankruptcy Alternative
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Taiwan Economic Journal Data Bank
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TECHNICAL NOTE. PREDICTING COMPANY FAILURE IN THE CONSTRUCTION INDUSTRY
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Prediction of solvency in construction companies
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Predicting Contractor Failure Using Stochastic Dynamics of Economic and Financial Variables
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Predicting Contract Surety Bond Claims Using Contractor Financial Data
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On the Pricing of Corporate Debt: The Risk Structure of Interest Rates
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Moody’s public risk firm risk model: A hybrid approach to modeling short term default risk
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Methodological Issues Related to the Estimation of Financial Distress Prediction Models
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Investigating the Performance of Alternative Default-Risk Models: Option-Based Versus Accounting-Based Approaches
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Financial Ratios and the Probabilistic Prediction of Bankruptcy
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Financial Ratios As Predictors of Failure
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Financial Performance Analysis for Construction Industry
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FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY
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Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)
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Construction Surety Bonding
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Comparing the performance of market-based and accounting-based bankruptcy prediction models
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Bankruptcy prediction with industry effects
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Application of the Logistic Function to Bio-Assay
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An Analogy between Various Machine-learning Techniques for Detecting Construction Materials in Digital Images
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A neural network model for bankruptcy prediction
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A methodology for predicting company failure in the construction industry
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A barrier option framework for predicting insolvency of construction firms
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A barrier option framework for corporate security valuation
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A Review of:Financial and cost concepts for construction management
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A Discriminant Analysis of Predictors of Business Failure
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A Study of Integrating Support-Vector-Machine (SVM) Model and Market-based Model in Predicting Taiwan Construction Contractor Default'
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