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Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification
12 references·4 citing·50 second hop
Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification (2014)Optimizing parameters of support vector m…Tourism demand forecasting using novel hybrid system (2013)Tourism demand forecasting us…Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction (2012)Classifiers selection in ense…Modelling optimal risk allocation in PPP projects using artificial neural networks (2010)Modelling optimal risk alloca…Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)Using support vector machine …A review of studies on Public–Private Partnership projects in the construction industry (2009)A review of studies on Public…Application of data mining techniques in customer relationship management: A literature review and classification (2008)Application of data mining te…Application of a PSO-based neural network in analysis of outcomes of construction claims (2007)Application of a PSO-based ne…A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets (2006)A hybrid approach based on ne…Neural network model incorporating a genetic algorithm in estimating construction costs (2004)Neural network model incorpor…Fundamentals of Alternative Dispute Resolution Processes in Construction (2002)Fundamentals of Alternative D…Critical factors affecting the use of alternative dispute resolution processes in construction (1999)Critical factors affecting th…Conflict and dispute in construction (1997)Conflict and dispute in const…Predicting the Occurrence of Construction Disputes Using Machine Learning Techniques (2021)Predicting the Occurrence of …Decision Support in Building Construction: A Systematic Review of Methods and Application Areas (2020)Decision Support in Building …A support vector machine method for bid/no bid decision making (2017)A support vector machine meth…Classifying Influential Information to Discover Rule Sets for Project Disputes and Possible Resolutions (2016)Classifying Influential Infor…COST ESTIMATION PREDICTIVE MODELING: REGRESSION VERSUS NEURAL NETWORK (1997)Neural Network Model for Parametric Cost Estimation of Highway Projects (1998)Regularization Neural Network for Construction Cost Estimation (1998)Optimisation of construction site layout using a hybrid simulation-based system (2008)Comparison of School Building Construction Costs Estimation Methods Using Regression Analysis, Neural Network, and Support Vector Machine (2013)Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects (2015)A resource‐based view of the firm (1984)Firm Resources and Sustained Competitive Advantage (1991)Firm resources and sustained competitive advantage (2004)Developing Key Performance Indicators for Public-Private Partnership Projects: Questionnaire Survey and Analysis (2011)Project selection in project portfolio management: An artificial neural network model based on critical success factors (2015)Identifying critical risks in Sponge City PPP projects using DEMATEL method: A case study of China (2019)Evaluating the risks of public private partnerships for infrastructure projects (2002)Incomplete Contracts and Public Ownership: Remarks, and an Application to Public‐Private Partnerships (2003)The allocation of risk in PPP/PFI construction projects in the UK (2004)A review of emerging trends in global PPP research: analysis and visualization (2016)Interplay of relational and contractual governance in public-private partnerships: The mediating role of relational norms, trust and partners' contribution (2018)Procurement innovation for a circular economy of construction and demolition waste: Lessons learnt from Suzhou, China (2019)Efficient Analytic Approximation of American Option Values (1987)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms (2019)A novel graph convolutional feature based convolutional neural network for stock trend prediction (2020)Prediction of cryptocurrency returns using machine learning (2020)Stock market prediction system with modular neural networks (1990)Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)Short-term stock price prediction based on echo state networks (2008)Financial time series prediction using a dendritic neuron model (2016)Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction (2019)Optimization by the Analytic Hierarchy Process (1979)The analytic hierarchy process : planning, priority setting, resource allocation (1980)Critical Success Factors for Different Project Objectives (1999)Predicting Disputes in Public-Private Partnership Projects: Classification and Ensemble Models (2012)Selection and use of Alternative Dispute Resolution (ADR) in construction projects — Past and future research (2016)The Strategy of Conflict (1960)Construction Claims and Disputes: Causes and Cost/Time Overruns (1994)Are Construction Disputes Inevitable? (2006)Conflicting factors in construction projects: Korean perspective (2006)Factors of Conflict in Construction Industry: A Literature Review (2011)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Decision Support and Business Intelligence Systems (2006)Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)Big data and disaster management: a systematic review and agenda for future research (2017)A survey towards an integration of big data analytics to big insights for value-creation (2018)A multi-attribute utility model for dispute resolution strategy selection (2002)Development of Automatic-Extraction Model of Poisonous Clauses in International Construction Contracts Using Rule-Based NLP (2019)Interval valued hesitant fuzzy uncertain linguistic aggregation operators in multiple attribute decision making (2015)Prediction of outcome of construction dispute claims using multilayer perceptron neural network model (2015)Causes of contractors’ claims in international engineering-procurement-construction projects (2017)
this work references cited by second hop

References

  • 2008Application of data mining techniques in customer relationship management: A literature review and classification1,267 cited
  • 2009A review of studies on Public–Private Partnership projects in the construction industry436 cited
  • 2009Using support vector machine with a hybrid feature selection method to the stock trend prediction302 cited
  • 2007Application of a PSO-based neural network in analysis of outcomes of construction claims269 cited
  • 2010Modelling optimal risk allocation in PPP projects using artificial neural networks249 cited
  • 2006A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets223 cited
  • 1997Conflict and dispute in construction215 cited
  • 1999Critical factors affecting the use of alternative dispute resolution processes in construction128 cited
  • 2004Neural network model incorporating a genetic algorithm in estimating construction costs127 cited
  • 2002Fundamentals of Alternative Dispute Resolution Processes in Construction112 cited
  • 2013Tourism demand forecasting using novel hybrid system109 cited
  • 2012Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction87 cited

Cited by

  • 2021Predicting the Occurrence of Construction Disputes Using Machine Learning Techniques79 cited
  • 2020

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Decision Support in Building Construction: A Systematic Review of Methods and Application Areas
45 cited
  • 2017A support vector machine method for bid/no bid decision making44 cited
  • 2016Classifying Influential Information to Discover Rule Sets for Project Disputes and Possible Resolutions42 cited