Customer clustering based on RFM- CPI model using data mining techniques [PDF]
International Journal of New Political Economy, 2022 Subject and purpose of the paper: the goal of this article is suggesting a new method for increasing the quality of customers clustering with increasing Customer Price Index (CPI) to monetary variable (M).Methodology: At this research, customers of one ...
Abdolmajid Imani +3 more
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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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Improving the direct marketing practices of FMCG retailers through better customer selection. An empirical study comparing the effectiveness of RFM (Recency, Freuency and Monetary) CHAID (Chi-squared Automatic Interaction Detection), stepwise logit (logistic regression) and ANN (Artificial Neural Networks) techniques using different data variable depths [PDF]
, 2014 The intent of this thesis is to understand Data Mining technique effectiveness in both shallow (RFM variable only) and expanded data environments.
Di Tullio, Ian
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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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Tržište, 2023 Purpose – This paper explores various supervised machine learning algorithms as an additional classification method to RFM (recency, frequency, and monetary) models with the aim of improving the accuracy in predicting target groups of customers for ...
Danijel Bratina, Armand Faganel
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COMPARISON OF THE LINEAR AND THE NON-LINEAR BLOCK ADJUSTMENT ON SATELLITE IMAGES RESEARCH [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The Rational Function Model （RFM） is a non-linear model. Usually, the RFM-based satellite image block adjustment uses the Taylor series to expand error equations, and then solves the linear model.
C. Li, C. Chen, Z. Guo, Z. Guo, Q. Liu
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The RFM Model Analysis for VIP Customer
International Journal of Knowledge Management, 2021 Numerous firms accumulate large quantities of data or transactions after importing information systems and services, which leads to troubles with data procedure. Firms also have demands to find customers’ information from large datasets and to understand how to develop marketing strategies accurately to adjust their operational methods. Therefore, this
Tung-Hsiang Chou, Shu-Chen Chang
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Remote Sensing, 2023 The Gaofen-1 (GF-1) and Gaofen-6 (GF-6) satellites have acquired many GF-1 and GF-6 wide-field-view (WFV) images. These images have been made available for free use globally.
Xiaojun Shan, Jingyi Zhang
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Customer Segmentation Using RFM Model
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), 2020 At the time of the ASEAN Economic Community (MEA), Indonesia was selected by several companies from other countries to sell its products, including overseas paint companies. Therefore, the increasingly fierce market competition business is unlikely to focus solely on products sold, but it is also important to pay attention to the process of managing ...
I Putu Gede Hendra Suputra +1 more
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Identifying customer priority for new products in target marketing: Using RFM model and TextRank [PDF]
Innovative Marketing, 2021 Target marketing is a key strategy used to increase the revenue. Among many methods that identify prospective customers, the recency, frequency, monetary value (RFM) model is considered the most accurate.
Seongbeom Hwang, Yuna Lee
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