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Efficacy of Using Support Vector Machine in a Contractor Prequalification Decision Model
16 references·2 citing·39 second hop
Efficacy of Using Support Vector Machine in a Contractor Prequalification Decision Model (2009)Efficacy of Using Support Vector Machine …Contractor pre-qualification model: State-of-the-art (2007)Contractor pre-qualification …Predicting corporate financial distress based on integration of support vector machine and logistic regression (2006)Predicting corporate financia…Application of support vector machines to corporate credit rating prediction (2006)Application of support vector…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Application of support vector machines in financial time series forecasting (2001)Application of support vector…A fuzzy neural network approach for contractor prequalification (2001)A fuzzy neural network approa…Criteria for contractor selection (1997)Criteria for contractor selec…Assessment and evaluation of contractor data against client goals using PERT approach (1997)Assessment and evaluation of …Fuzzy sets (1996)Fuzzy setsFactors influencing U.K. construction clients' choice of contractor (1994)Factors influencing U.K. cons…Evaluating prequalification criteria in contractor selection (1994)Evaluating prequalification c…Decision Criteria in Contractor Prequalification (1988)Decision Criteria in Contract…Fuzzy sets (1965)Fuzzy setsModelling of Activity-Travel Pattern with Support Vector Machine (2021)Modelling of Activity-Travel …Machine Learning Algorithms for Construction Projects Delay Risk Prediction (2019)Machine Learning Algorithms f…Stock market prediction system with modular neural networks 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and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2009)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Combining cluster analysis with classifier ensembles to predict financial distress (2011)A Discriminant Analysis of Predictors of Business Failure (1972)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Consumer credit-risk models via machine-learning algorithms (2010)Contractor prequalification data for construction owners (1992)Contractor selection using multicriteria utility theory: An additive model (1998)Framework of Success Criteria for Design/Build Projects (2002)Towards a Comprehensive Understanding of Public Private Partnerships for Infrastructure Development (2009)Project management: A systems approach to planning, scheduling and controlling (1982)A Guide to the project management body of knowledge (1996)Causes of delay in large construction projects (2006)Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model (2020)Applied artificial intelligence for predicting construction projects delay (2021)Machine learning in project analytics: a data-driven framework and case study (2022)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Set-Theoretic Methods for the Social Sciences (2012)Family resemblances: Studies in the internal 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104 cited
  • 2001A fuzzy neural network approach for contractor prequalification96 cited
  • Cited by

    • 2019Machine Learning Algorithms for Construction Projects Delay Risk Prediction373 cited
    • 2021Modelling of Activity-Travel Pattern with Support Vector Machine2 cited