Results 21 to 30 of about 7,770 (222)
Customer segment model with the purchase recency, frequency and monetary amount [PDF]
Marketing (Beograd. 1991)This paper utilizes customer transaction data to segment customers based on their purchase recency, frequency, and monetary amount. By employing an empirical approach, a stochastic model is proposed to predict customer segmentation into categories such ...
Huang Hui-Hsin
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Branch Client Behavior Analysis Using RFM Method [PDF]
مطالعات مدیریت کسب و کار هوشمند, 2021 In today's competitive world, applying new techniques to business development has a great impact. The restaurant industry is no exception. Therefore, in this research, using new methods of knowledge discovery and data mining, customer data of chain ...
Fateme Rahimi +2 more
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Optimization of the Complex-RFM optimization algorithm
Optimization and Engineering, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Persson, Johan, Ölvander, Johan
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, 2021 Die Autorin des Initialbeitrags, die Bremer Migrations- und Bildungsforscherin Dita Vogel, erläutert in ihrem Text „Drei Sprachen sind genug fürs Abitur!“ einen Reformvorschlag für den Abbau der Diskriminierung von mehrsprachig Aufgewachsenen. Kernpunkte
Küppers, Almut +8 more
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Indústrias Culturais, 2013 Como escrito há dias, o programa da RFM Café da Manhã passa a contar com novos apresentadores: André Henriques, Joana Cruz e Mariana Alvim, mantendo-se Nilton.
Rogério Santos
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Comparison of the RFM Model's Actual Value and Score Value for Clustering
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Clustering algorithms and Recency-Frequency-Money (RFM) models are widely implemented in various sectors of e-commerce, banking, telecommunications and other industries to obtain customer segmentation.
Samidi +2 more
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Analysis and Optimization of Customer Lifetime Value Prediction using Machine Learning and Deep Learning Models by RFM Techniques [PDF]
International Journal of Web ResearchIn today’s data-driven hospitality sector, customer interactions increasingly occur through digital platforms, generating extensive behavioral and transactional information. This study analyse the prediction of Customer Lifetime Value (CLV) using machine
Leila Taherkhani +3 more
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EVALUATION OF RATIONAL FUNCTION MODEL FOR GEOMETRIC MODELING OF CHANG'E-1 CCD IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Rational Function Model (RFM) is a generic geometric model that has been widely used in geometric processing of high-resolution earth-observation satellite images, due to its generality and excellent capability of fitting complex rigorous sensor models.
Y. Liu, K. Di
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Journal of Database Marketing & Customer Strategy Management, 2000 Direct marketing is fundamentally the scientific control of customer acquisition and contact. This paper addresses the fundamental questions of RFM (recency, frequency and monetary). Since direct marketing segmentation is a science, it is important to quantify customer behaviour so that the short- and long-term effect of the segmentation formulae can ...
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COMPARISON OF PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM IN RATIONAL FUNCTION MODEL OPTIMIZATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Rational Function Models (RFM) are one of the most considerable approaches for spatial information extraction from satellite images especially where there is no access to the sensor parameters. As there is no physical meaning for the terms of RFM, in the
S. Yavari +3 more
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