RFM model for customer purchase behavior using K-Means algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2019.12.011
Abstract: Abstract The objective of this study is to apply business intelligence in identifying potential customers by providing relevant and timely data to business entities in the Retail Industry. The data furnished is based on systematic… read more here.
Keywords: using means; rfm model; means algorithm; customer ... See more keywords
A Data-Driven Customer Profiling Method for Offline Retailers
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DOI: 10.1155/2022/8069007
Abstract: In order to accelerate the transformation of offline retailers and improve sales by using big data technology, this paper proposes a data-driven customer profile modeling method based on the collected historical purchase records of offline… read more here.
Keywords: driven customer; data driven; customer; model ... See more keywords
Adherence predictor variables in AIDS patients: an empirical study using the data mining-based RFM model
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DOI: 10.1186/s12981-020-00326-8
Abstract: Background Highly active antiretroviral therapy (ART) is still the only effective method to stop the disease progression in acquired immunodeficiency syndrome (AIDS) patients. However, poor adherence to the therapy makes it ineffective. In this work,… read more here.
Keywords: aids patients; rfm model; model; adherence predictor ... See more keywords