Results 101 to 110 of about 2,747 (186)
RFM user value tags and XGBoost algorithm for analyzing electricity customer demand data
Systems and Soft ComputingWith the increasing demand for electricity, predicting user electricity demand has become an essential task. The electricity demand characteristics of users in the electricity market are different, so it is necessary to classify and predict users. Aiming
Zhu Tang, Yang Jiao, Mingmin Yuan
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On the Tropical Nature of an Intense Mediterranean Cyclone in the Ocean‐Atmosphere System
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 14, 28 July 2026.Abstract The Mediterranean basin hosts a large number of cyclones every year. Among them, some rare cases named medicanes present similarities with tropical cyclones but their dynamical characteristics are debated. The ocean‐atmosphere dynamics of Medicane Ianos (2020) are studied here through km‐scale fully coupled ocean‐wave‐atmosphere simulations ...
Sophia E. Brumer +8 more
wiley +1 more source
Frontiers in Earth ScienceAccurately quantifying the relative effects of climate change and human activities on soil carbon, nitrogen, and phosphorus in alpine grasslands and their feedback is an important aspect of global change, and high-precision models are the key to solving ...
Shaohua Wang +6 more
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Customer Segmentation Using an Extended RFM Model and Clustering Algorithms in E-Commerce
Journal of Theoretical and Applied Electronic Commerce ResearchCustomer segmentation is a critical step in the efficient utilization of customer data and maximization of profitability in the e-commerce sector.
Tuncay Ozcan
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A geospatial model of RFM analysis: An application to tourism in the Iberian Peninsula
Procedia Computer Science, 2022 Itzcóatl Bueno +3 more
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A Fuzzy Linguistic RFM Model Applied to Campaign Management
, 2018 In the literature there are some proposals for integrated schemes for campaign management based on segmentation from the results of the RFM model. RFM is a technique used to analyze customer behavior by means of three variables: Recency, Frequency and Monetary value.
Carrasco González, Ramón Alberto +1 more
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A Machine Learning Model for Local Market Prediction Using RFM Model
Elinvo (Electronics, Informatics, and Vocational Education)This study explores the application of machine learning for local market prediction in e-commerce. By leveraging the RFM segmentation method, the model predicts product sales based on user shopping patterns. The RFM score, calculated using recency, frequency, and monetary values of customer purchases, segments customers into distinct categories.
Muhammad Yahya +5 more
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Scientific ReportsThe health advantages of Ramadan fasting, a time-restricted eating from dawn to dusk, have garnered attention. Nevertheless, prior observational studies have found inconsistent findings because of challenges regulating variables such as sleep patterns ...
Abeer Abdallah Alasmari +9 more
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Database Marketing Tools for SMEs The case of RFM Model [PDF]
Advances in Intelligent Systems Research, 2014 Aquilino Costa +5 more
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Comparison of classical RFM models and Machine learning models in CLV prediction
, 2020 Masteroppgave(MSc) in Master of Science in Business Analytics - Handelshøyskolen BI ...
Qismat, Temor, Feng, Yan
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