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Enhancing Consumer Behavior Analysis by Data Mining Techniques
12 references·0 citing·49 second hop
Enhancing Consumer Behavior Analysis by Data Mining Techniques (2009)Enhancing Consumer Behavior Analysis by D…Online Auction Customer Segmentation Using a Neural Network Model (2005)Online Auction Customer Segme…Hybrid mining approach in the design of credit scoring models (2005)Hybrid mining approach in the…Computer assisted customer churn management: State-of-the-art and future trends (2005)Computer assisted customer ch…Simple database marketing tools in customer analysis and retention (2003)Simple database marketing too…Managing loan customers using misclassification patterns of credit scoring model (2003)Managing loan customers using…Evaluating consumer loans using neural networks (2003)Evaluating consumer loans usi…Credit scoring and reject inference with mixture models (1999)Credit scoring and reject inf…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…ATM user attitudes: a neural network analysis (1996)ATM user attitudes: a neural …Artificial neural networks: A new methodology for industrial market segmentation (1995)Artificial neural networks: A…A neural network for classifying the financial health of a firm (1995)A neural network for classify…Comparing the predictive performance of a neural network model with some traditional market response models (1994)Comparing the predictive perf…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)Decision support systems and intelligent systems (1997)An integrated data mining and behavioral scoring model for analyzing bank customers (2004)Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes (2010)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)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)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)Customer satisfaction, customer retention, and market share (1993)Understanding customer relationship management (CRM) (2003)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)Customer churn prediction in telecommunications (2011)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)Customer churn prediction system: a machine learning approach (2021)Credit Scoring and the Equal Credit Opportunity Act (1978)An econometric analysis of the bank credit scoring problem (1989)A rejection inference technique based on contrastive pessimistic likelihood estimation for P2P lending (2018)A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending (2019)Deep generative models for reject inference in credit scoring (2020)Time Series Analysis: Forecasting and Control (1977)A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)Models of Consumer Satisfaction Formation: An Extension (1988)Audience targeting by B-to-B advertisement classification: A neural network approach (2012)Improved market segmentation by fuzzifying crisp clusters: A case study of the energy market in Spain (2014)Optimizing Logistics Processes in Cash Supply Chains (2014)Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Bankruptcy prediction using neural networks (1994)Using Neural Networks to Understand Service Risk in the Holiday Product (1999)A neural clustering and classification system for sales forecasting of new apparel items (2006)Application of interpretable machine learning models for the intelligent decision (2018)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Neural network credit scoring models (2000)IMPROVING CLASSIFICATION ACCURACY AND CAUSAL KNOWLEDGE FOR BETTER CREDIT DECISIONS (2011)Credit risk analysis using machine learning classifiers (2017)A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS (2021)The organization of behavior. (1950)Business Marketing Comes of Age: A Comprehensive Review of the Literature (2000)Forecasting Tourism Demand Using Time Series, Artificial Neural Networks and Multivariate Adaptive Regression Splines:Evidence from Taiwan (2011)Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews (2019)Multiple classifier application to credit risk assessment (2009)Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy (2010)Developing an early warning system to predict currency crises (2014)Credit rating by hybrid machine learning techniques (2009)Combining cluster analysis with classifier ensembles to predict financial distress (2011)Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring (2019)
this work references cited by second hop

References

  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 2005Computer assisted customer churn management: State-of-the-art and future trends340 cited
  • 2003Evaluating consumer loans using neural networks280 cited
  • 2005Hybrid mining approach in the design of credit scoring models196 cited
  • 1995A neural network for classifying the financial health of a firm191 cited
  • 1994Comparing the predictive performance of a neural network model with some traditional market response models125 cited
  • 1995Artificial neural networks: A new methodology for industrial market segmentation102 cited
  • 1999Credit scoring and reject inference with mixture models61 cited
  • 2003Managing loan customers using misclassification patterns of credit scoring model52 cited
  • 1996ATM user attitudes: a neural network analysis49 cited
  • 2005Online Auction Customer Segmentation Using a Neural Network Model31 cited
  • 2003Simple database marketing tools in customer analysis and retention31 cited

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