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USING MACHINE LEARNING TO PREDICT THE NEXT PURCHASE DATE FOR AN INDIVIDUAL RETAIL CUSTOMER
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USING MACHINE LEARNING TO PREDICT THE NEXT PURCHASE DATE FOR AN INDIVIDUAL RETAIL CUSTOMER (2020)USING MACHINE LEARNING TO PREDICT THE NEX…New approach to customer segmentation based on changes in customer value (2015)New approach to customer segm…Building intelligent shopping assistants using individual consumer models (2005)Building intelligent shopping…Predicting customer shopping lists from point-of-sale purchase data (2004)Predicting customer shopping …Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Data Mining Techniques: For M…Analysis of efficiency factors of companies in Serbia based on artificial neural networks (2022)Analysis of efficiency factor…Using data mining methods to build customer profiles (2001)Repeat-Buying: Facts, Theory and Applications. (1991)A hybrid approach for predicting customers’ individual purchase behavior (2017)How implicit self-theories and dual-brand personalities enhance word-of-mouth (2021)Building Data Mining Applications for CRM (1999)Classifying the segmentation of customer value via RFM model and RS theory (2008)Analytics at Work: Smarter Decisions, Better Results (2009)The practical approach in Customers segmentation by using the K-Means Algorithm (2020)An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation (2021)How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation (2023)Modelling and evaluating customer loyalty using neural networks: Evidence from startup insurance companies (2016)Machine Learning in Banking Risk Management: A Literature Review (2019)Deep learning in finance and banking: A literature review and classification (2020)Application of data mining techniques in customer relationship management: A literature review and classification (2008)A comparison of machine learning techniques for customer churn prediction (2015)Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics (2020)
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References

  • 2004Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management1,226 cited
  • 2015New approach to customer segmentation based on changes in customer value63 cited
  • 2004Predicting customer shopping lists from point-of-sale purchase data46 cited
  • 2005Building intelligent shopping assistants using individual consumer models23 cited

Cited by

  • 2022Analysis of efficiency factors of companies in Serbia based on artificial neural networks15 cited

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