Results 111 to 120 of about 11,195,460 (215)
Modification of RFM model with Runs of shopping recency
, 2010 碩士現代企業資料庫中，往往擁有龐大的顧客交易資料以及顧客基本資料。為了從資料庫中瞭解顧客行為，目前業界最常使用的是簡單捕捉顧客行為模式的RFM模型，並利用RFM模型找出對企業貢獻度高的顧客，進而進行顧客關係管理。本研究以RFM模型為基礎，將消費頻率的分布情形與變動權重的概念導入，引用「連」(Run)的概念，將一般評估顧客指標的RFM模型加以修正。本文以廣義伽瑪分配模擬出顧客的交易時間，透過線性判別分析比較Hughes和Stone指標，以及本研究所提出的新指標法(S ...
陳慈慧; Chen, Tzu-hui
core
Layer model for gate-based modular quantum computers
This paper elaborates on a consensus view from the standardization body JTC22/WG3 on a layer model that offers a high-level hierarchical description of hardware and software modules to support the development of modular quantum computers.
Amoretti, M +2 more
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New Approach: Customer Segmentation using RFM Model and Demand Classification
This research introduces an integrated data mining framework that combines RFM (Recency, Frequency, Monetary) analysis with demand pattern classification—encompassing Smooth, Erratic, Intermittent, and Lumpy categories—to refine customer segmentation ...
Muhammad Fermi Pasha +2 more
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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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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
doaj +1 more source
Modeling Within- and Across-Customer Association in Lifetime Value with Copulas [PDF]
Recent advances in linking Recency-Frequency-Monetary value (RFM) data to Customer Lifetime Value (CLV) in non-contractual settings rely on the assumption of independence between the transaction and spend processes. We propose to model jointly the inter-
Lemmens, A., Croux, C., Glady, N.
core
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
doaj +1 more source
Customer segmentation using RFM analysis
, 2020 This paper is a research on the segmentation of customers. The clustering of customers is done based on the variables recency, frequency and monetary value. Such a clustering is called an RFM-model.
van Burg, J.M. (author)
core
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
openaire +1 more source