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Data Mining and Machine Learning for Financial Analysis
14 references·2 citing·43 second hop
Data Mining and Machine Learning for Financial Analysis (2017)Data Mining and Machine Learning for Fina…Predicting Financial Distress: A Comparison of Survival Analysis and Decision Tree Techniques (2015)Predicting Financial Distress…Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach (2015)Predicting Credit Risk in Pee…A REVIEW ON DATA MINING IN BANKING SECTOR (2013)A REVIEW ON DATA MINING IN BA…Foundations of Banking Risk (2012)Foundations of Banking RiskCredit risk Evaluation by hybrid data mining technique (2012)Credit risk Evaluation by hyb…Assessing Credit Risk: An Application of Data Mining in a Rural Bank (2012)Assessing Credit Risk: An App…Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Financial…Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress (2010)Comparison of Support Vector …A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A comparative survey of artif…Credit Risk Management: Basic Concepts, Financial Risk Components, Rating Analysis, Models, Economic and Regulatory Capital (2009)Credit Risk Management: Basic…Decision analysis of data mining project based on Bayesian risk (2008)Decision analysis of data min…Credit Risk Management: Basic Concepts: Financial Risk Components, Rating Analysis, Models, Economic and Regulatory Capital (2008)Credit Risk Management: Basic…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Powers of freedom: reframing political thought (2000)Powers of freedom: reframing …Principal Component Analysis and ReliefF Cascaded with Decision Tree for Credit Scoring (2019)Principal Component Analysis …Deep Convolutional Neural Networks Versus Multilayer Perceptron for Financial Prediction (2018)Deep Convolutional Neural Net…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Business failure prediction based on two-stage selective ensemble with manifold learning algorithm and kernel-based fuzzy self-organizing map (2017)Corporate Bankruptcy Prediction Model, a Special Focus on Listed Companies in Kenya (2020)Corporate failure prediction models in the twenty-first century: a review (2020)Chapter 12: What does the Anthropocene hold for citizenship? (1905)Methodologies for data quality assessment and improvement (2009)Detection of financial statement fraud and feature selection using data mining techniques (2010)Predicting direct marketing response in banking: comparison of class imbalance methods (2017)Deep Convolutional Neural Networks Versus Multilayer Perceptron for Financial Prediction (2018)Clustering Analysis for Silent Telecom Customers Based on K-means++ (2020)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)A neural network model for bankruptcy prediction (1990)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Analysis of the Risk of Bankruptcy of Tomato Processing Companies Operating in the Inter-Regional Interprofessional Organization “OI Pomodoro da Industria Nord Italia” (2018)Credit-Risk Prediction Model Using Hybrid Deep—Machine-Learning Based Algorithms (2023)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Deep learning for financial applications : A survey (2020)Stock market movement forecast: A Systematic review (2020)Artificial intelligence and machine learning in finance: A bibliometric review (2022)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Forecasting with artificial neural networks: (1998)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)The effect of feature selection on financial distress prediction (2014)Financial credit risk assessment: a recent review (2015)A hybrid ETS–ANN model for time series forecasting (2017)The Politics of Life Itself (2001)A Postcapitalist Politics (2006)Developing a framework for responsible innovation (2013)A public good approach to credit ratings – From concept to reality (2012)The Effect of Credit Risk on the Banking Profitability: A Case on Bangladesh (2015)Impact of Credit Risk Management Systems on the Financial Performance of Commercial Banks in Uganda (2018)Credit Risk Analysis in Peer-to-Peer Lending System (2016)Data-driven decision-making in credit risk management: The information value of analyst reports (2022)P2P Lending Survey (2017)A Big Data Mining Approach of PSO-Based BP Neural Network for Financial Risk Management With IoT (2019)Predicting loan default in peer‐to‐peer lending using narrative data (2019)
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References

  • 2000Powers of freedom: reframing political thought5,663 cited
  • 2010A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems552 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 2011Machine Learning in Financial Crisis Prediction: A Survey325 cited
  • 2015Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach152 cited
  • 2015Predicting Financial Distress: A Comparison of Survival Analysis and Decision Tree Techniques127 cited
  • 2008Credit Risk Management: Basic Concepts: Financial Risk Components, Rating Analysis, Models, Economic and Regulatory Capital93 cited
  • 2009Credit Risk Management: Basic Concepts, Financial Risk Components, Rating Analysis, Models, Economic and Regulatory Capital91 cited
  • 2010Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress74 cited
  • 2013A REVIEW ON DATA MINING IN BANKING SECTOR51 cited
  • 2012Assessing Credit Risk: An Application of Data Mining in a Rural Bank49 cited
  • 2012Credit risk Evaluation by hybrid data mining technique46 cited
  • 2008Decision analysis of data mining project based on Bayesian risk39 cited
  • 2012Foundations of Banking Risk

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36 cited

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  • 2018Deep Convolutional Neural Networks Versus Multilayer Perceptron for Financial Prediction23 cited
  • 2019Principal Component Analysis and ReliefF Cascaded with Decision Tree for Credit Scoring17 cited