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A multi-agent system for web-based risk management in small and medium business
13 references·3 citing·47 second hop
A multi-agent system for web-based risk management in small and medium business (2012)A multi-agent system for web-based risk m…Financial time series forecasting using independent component analysis and support vector regression (2009)Financial time series forecas…A NEURAL NETWORK MODEL FOR CREDIT RISK EVALUATION (2009)A NEURAL NETWORK MODEL FOR CR…Ranking-order case-based reasoning for financial distress prediction (2008)Ranking-order case-based reas…Gaussian case-based reasoning for business failure prediction with empirical data in China (2008)Gaussian case-based reasoning…Financial distress prediction based on serial combination of multiple classifiers (2008)Financial distress prediction…A reference model for customer-centric data mining with support vector machines (2008)A reference model for custome…Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers (2007)Listed companies’ financial d…Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Forecasting financial conditi…Financial distress early warning based on group decision making (2007)Financial distress early warn…Developing a business failure prediction model via RST, GRA and CBR (2007)Developing a business failure…A hybrid financial analysis model for business failure prediction (2007)A hybrid financial analysis m…Data mining method for listed companies’ financial distress prediction (2006)Data mining method for listed…A roadmap for future neural networks research in auditing and risk assessment (2002)A roadmap for future neural n…Identifying the main factors involved in business intelligence implementation in SMEs (2020)Identifying the main factors …A Review of Business Intelligence and Analytics in Small and Medium-Sized Enterprises (2018)A Review of Business Intellig…Generating project risk response strategies based on CBR: A case study (2014)Generating project risk respo…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Forecasting business failure: The use of nearest-neighbour support vectors and correcting imbalanced samples – Evidence from the Chinese hotel industry (2011)The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory (2011)Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance (2021)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Credit Scoring and Its Applications (2002)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Operator functional state classification using least-square support vector machine based recursive feature elimination technique (2013)Intelligent data analysis approaches to churn as a business problem: a survey (2016)When do customers perceive customer centricity? The role of a firm’s and salespeople’s customer orientation (2019)Financial Ratios As Predictors of Failure (1966)Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)Decision-making for financial trading: A fusion approach of machine learning and portfolio selection (2018)A New Perspective of Performance Comparison among Machine Learning Algorithms for Financial Distress Prediction (2019)A neural network model for bankruptcy prediction (1990)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)The evaluation of consumer loans using support vector machines (2005)Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait (2010)Oil price forecasting using gene expression programming and artificial neural networks (2016)Time Series Analysis: Forecasting and Control (1977)Comparing Predictive Accuracy (1994)Forecasting with artificial neural networks: (1998)Stock price prediction using support vector regression on daily and up to the minute prices (2018)Optimizing LSTM for time series prediction in Indian stock market (2020)Machine learning techniques and data for stock market forecasting: A literature review (2022)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Fuzzy sets (1965)Fuzzy sets (1996)Determining of stock investments with grey relational analysis (2011)MANAGING HESITANT INFORMATION IN GDM PROBLEMS UNDER FUZZY AND MULTIPLICATIVE PREFERENCE RELATIONS (2013)Consistency of the fused intuitionistic fuzzy preference relation in group intuitionistic fuzzy analytic hierarchy process (2015)SCRIPTS, PLANS, GOALS, AND UNDERSTANDING (1988)Risk Management and Construction (1993)Understanding the key risks in construction projects in China (2007)Selection of risk response actions with consideration of secondary risks (2017)A multiobjective optimization method considering process risk correlation for project risk response planning (2018)Risk Response of Complex Projects: Risk Association Network Method (2021)Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods (2010)Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods (2021)Predicting business failure using multiple case-based reasoning combined with support vector machine (2009)HYBRID NEURAL INTELLIGENT SYSTEM TO PREDICT BUSINESS FAILURE IN SMALL-TO-MEDIUM-SIZE ENTERPRISES (2011)Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods (2020)Novel feature selection methods to financial distress prediction (2013)Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets (2019)
this work references cited by second hop

References

  • 2009Financial time series forecasting using independent component analysis and support vector regression538 cited
  • 2007Forecasting financial condition of Chinese listed companies based on support vector machine246 cited
  • 2006Data mining method for listed companies’ financial distress prediction166 cited
  • 2002A roadmap for future neural networks research in auditing and risk assessment155 cited
  • 2008Ranking-order case-based reasoning for financial distress prediction141 cited
  • 2007Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers117 cited
  • 2007Financial distress early warning based on group decision making98 cited
  • 2008Gaussian case-based reasoning for business failure prediction with empirical data in China97 cited
  • 2008A reference model for customer-centric data mining with support vector machines86 cited
  • 2007Developing a business failure prediction model via RST, GRA and CBR80 cited
  • 2009A NEURAL NETWORK MODEL FOR CREDIT RISK EVALUATION78 cited
  • 2007A hybrid financial analysis model for business failure prediction68 cited
  • 2008Financial distress prediction based on serial combination of multiple classifiers62 cited

Cited by

  • 2014Generating project risk response strategies based on CBR: A case study

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99 cited
  • 2020Identifying the main factors involved in business intelligence implementation in SMEs20 cited
  • 2018A Review of Business Intelligence and Analytics in Small and Medium-Sized Enterprises19 cited