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Application of Instance-Based Entropy Fuzzy Support Vector Machine in Peer-To-Peer Lending Investment Decision
16 references·9 citing·44 second hop
Application of Instance-Based Entropy Fuzzy Support Vector Machine in Peer-To-Peer Lending Investment Decision (2019)Application of Instance-Based Entropy Fuz…Loan default prediction by combining soft information extracted from descriptive text in online peer-to-peer lending (2017)Loan default prediction by co…Integrated framework for profit-based feature selection and SVM classification in credit scoring (2017)Integrated framework for prof…Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending (2017)Cost-sensitive boosted tree f…A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)A feature weighted support ve…A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A boosted decision tree appro…The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending (2016)The use of profit scoring as …Instance-based credit risk assessment for investment decisions in P2P lending (2015)Instance-based credit risk as…Determinants of Default in P2P Lending (2015)Determinants of Default in P2…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Development and application of consumer credit scoring models using profit-based classification measures (2014)Development and application o…A literature review on the application of evolutionary computing to credit scoring (2012)A literature review on the ap…Borrower Decision Aid for people-to-people lending (2010)Borrower Decision Aid for peo…Bagging and Boosting Classification Trees to Predict Churn (2006)Bagging and Boosting Classifi…Credit scoring system for small business loans (2003)Credit scoring system for sma…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…The Sharpe Ratio (1994)The Sharpe RatioMachine Learning XAI for Early Loan Default Prediction (2025)Machine Learning XAI for Earl…Profit-sensitive machine learning classification with explanations in credit risk: The case of small businesses in peer-to-peer lending (2024)Profit-sensitive machine lear…Proposing a new loan recommendation framework for loan allocation strategies in online P2P lending (2023)Proposing a new loan recommen…Prediction of bank Loan Status using Machine Learning Algorithms (2023)Prediction of bank Loan Statu…Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions (2021)Risk-return modelling in the …Crowdlending: mapping the core literature and research frontiers (2021)Crowdlending: mapping the cor…A New Hybrid Instance-Based Learning Model for Decision-Making in the P2P Lending Market (2021)A New Hybrid Instance-Based L…Research on investment decision-making model from the perspective of “Internet of Things + Big data” (2020)Research on investment decisi…A neural‐network‐based decision‐making model in the peer‐to‐peer lending market (2020)A neural‐network‐based decisi…Neural network credit scoring models (2000)Credit scoring with a data mining approach based on support vector machines (2006)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Market Segmentation: Conceptual and Methodological Foundations (1997)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Customer churn prediction using improved balanced random forests (2008)Gradient boosting trees for auto insurance loss cost modeling and prediction (2011)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)Modern Portfolio Theory and Investment Analysis. (1982)The Statistics of Sharpe Ratios (2002)An econometric model of serial correlation and illiquidity in hedge fund returns (2004)Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Decision support from financial disclosures with deep neural networks and transfer learning (2017)A study on predicting loan default based on the random forest algorithm (2019)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)A novel heterogeneous ensemble credit scoring model based on bstacking approach (2017)Soft consensus cost models for group decision making and economic interpretations (2019)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Forecasting gold price with the XGBoost algorithm and SHAP interaction values (2021)Time Series Analysis, Forecasting and Control. 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References

  • 1994The Sharpe Ratio2,542 cited
  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2017A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring770 cited
  • 2006Bagging and Boosting Classification Trees to Predict Churn410 cited
  • 2017A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction382 cited
  • 2015Determinants of Default in P2P Lending327 cited
  • 2015Instance-based credit risk assessment for investment decisions in P2P lending313 cited
  • 2016The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending253 cited
  • 2017Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending189 cited
  • 2017Loan default prediction by combining soft information extracted from descriptive text in online peer-to-peer lending180 cited
  • 2014Development and application of consumer credit scoring models using profit-based classification measures179 cited
  • 2010Borrower Decision Aid for people-to-people lending117 cited
  • 2017Integrated framework for profit-based feature selection and SVM classification in credit scoring

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111 cited
  • 2012A literature review on the application of evolutionary computing to credit scoring109 cited
  • 2003Credit scoring system for small business loans64 cited
  • Cited by

    • 2021Crowdlending: mapping the core literature and research frontiers37 cited
    • 2020Research on investment decision-making model from the perspective of “Internet of Things + Big data”33 cited
    • 2021Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions33 cited
    • 2024Profit-sensitive machine learning classification with explanations in credit risk: The case of small businesses in peer-to-peer lending20 cited
    • 2020A neural‐network‐based decision‐making model in the peer‐to‐peer lending market19 cited
    • 2025Machine Learning XAI for Early Loan Default Prediction19 cited
    • 2023Proposing a new loan recommendation framework for loan allocation strategies in online P2P lending17 cited
    • 2023Prediction of bank Loan Status using Machine Learning Algorithms17 cited
    • 2021A New Hybrid Instance-Based Learning Model for Decision-Making in the P2P Lending Market15 cited