Results 11 to 20 of about 15,863 (207)
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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Multi-omics predicts radiotherapy response in small cell lung cancer patients receiving whole brain irradiation. [PDF]
J Appl Clin Med PhysAbstract Objective Dosiomics and radiomics elaborate the low‐and high‐order features extracted from images to predict clinical outcomes. Whole‐brain radiotherapy (WBRT) has been widely used in patients with diffuse brain metastases of small cell lung cancer (SCLC).
Lei Y +11 more
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Customer-Centric Sales Forecasting Model: RFM-ARIMA Approach
Business Systems Research Journal, 2022 Abstract Background: Decision makers use the process of determining the best course of action by processing, analysing & interpreting the data to gain insights, known as Business Intelligence. Some decision support systems use sales figures to predict future expansion, but few consider the effect of customer data.
Londhe, Sanket, Palwe, Sushila
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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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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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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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Literature Review Analisis Perilaku Pelanggan Menggunakan RFM Model
Majalah Ilmiah Teknologi Elektro, 2022 Abstract— Data is an asset for every company, especially Customer Data. Processing of customer data hereinafter can be referred to as Data Mining. The current tight competition in the industry makes companies have to be careful in processing their customer data, one of which is processing customer data for CRM operations.
Rukmi Sari Hartati +2 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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IEEE Access, 2020 Nowadays, numerous earth-observation data are obtained from different kinds of platforms, in which data from synthetic aperture radar (SAR) sensors and optical sensors account for the vast majority.
Niangang Jiao, Feng Wang, Hongjian You
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