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Predicting Travel Insurance Purchases in an Insurance Firm through Machine Learning Methods after COVID-19
4 references·0 citing·17 second hop
Predicting Travel Insurance Purchases in an Insurance Firm through Machine Learning Methods after COVID-19 (2023)Predicting Travel Insurance Purchases in …Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)Machine Learning: Algorithms,…Application of logistic regression models to assess household financial decisions regarding debt (2020)Application of logistic regre…A machine learning framework for customer purchase prediction in the non-contractual setting (2018)A machine learning framework …Support Vector Machines (SVM) as a Technique for Solvency Analysis (2009)Support Vector Machines (SVM)…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Deep context of citations using machine-learning models in scholarly full-text articles (2018)OPCNN-FAKE: Optimized Convolutional Neural Network for Fake News Detection (2021)A preliminary study for developing perceived ESG scale to measure public perception toward organizations’ ESG performance (2023)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Relationship quality as a predictor of B2B customer loyalty (2006)A systematic review of the research trends of machine learning in supply chain management (2019)Machine learning in energy economics and finance: A review (2019)On the platform but will they buy? Predicting customers' purchase behavior using deep learning (2021)Utility analysis and the consumption function: An interpretation of cross-section data (1954)The Effects of Credit Attitude and Socioeconomic Factors on Credit Card and Installment Debt (2001)Utility Analysis and the Consumption Function: An Interpretation of Cross-Section Data (2013)Macroeconomic Determinants of Economic Development and Growth in Ukraine: Logistic Regression Analysis (2023)Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective (2021)Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions (2023)Risk and the future of AI: Algorithmic bias, data colonialism, and marginalization (2023)
this work references cited by second hop

References

  • 2021Machine Learning: Algorithms, Real-World Applications and Research Directions5,577 cited
  • 2009Support Vector Machines (SVM) as a Technique for Solvency Analysis375 cited
  • 2018A machine learning framework for customer purchase prediction in the non-contractual setting267 cited
  • 2020Application of logistic regression models to assess household financial decisions regarding debt37 cited

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