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Analytics in a Big Data World
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Analytics in a Big Data World (2012)Analytics in a Big Data WorldChurn Prediction Models Using Gradient Boosted Tree and Random Forest Classifiers (2023)Churn Prediction Models Using…Profit-based credit scoring based on robust optimization and feature selection (2019)Profit-based credit scoring b…Benchmarking sampling techniques for imbalance learning in churn prediction (2017)Benchmarking sampling techniq…A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models (2015)A comparative analysis of the…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)The internationalization and performance of SMEs (2001)The effectiveness of TARP-CPP on the US banking industry: A new copula-based approach (2016)“Birds of a Feather” Fail Together: Exploring the Nature of Dependency in SME Defaults (2017)Textual analysis and corporate bankruptcy: A financial dictionary-based sentiment approach (2020)The Behavioral Consequences of Service Quality (1996)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Just-in-time Customer Churn Prediction: With and Without Data Transformation (2018)Application of Instance-Based Entropy Fuzzy Support Vector Machine in Peer-To-Peer Lending Investment Decision (2019)How training on multiple time slices improves performance in churn prediction (2021)Credit Scoring and Its Applications (2002)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Financial Distress Prediction and Feature Selection in Multiple Periods by Lassoing Unconstrained Distributed Lag Non-linear Models (2020)Credit Decision Support Based on Real Set of Cash Loans Using Integrated Machine Learning Algorithms (2021)What should lenders be more concerned about? Developing a profit-driven loan default prediction model (2022)A Comparative Study of Employee Churn Prediction Model (2018)Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning (2018)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)
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  • 2017Benchmarking sampling techniques for imbalance learning in churn prediction45 cited
  • 2015A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models43 cited
  • 2019Profit-based credit scoring based on robust optimization and feature selection39 cited
  • 2023Churn Prediction Models Using Gradient Boosted Tree and Random Forest Classifiers8 cited

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