Results 171 to 180 of about 11,195,460 (215)

Risk stratification for gallstones based on 14 obesity and lipid-related Indices: a longitudinal cohort study of 44,030 Chinese adults. [PDF]

Lipids Health Dis
Zhang HF, Tao JL, Liang CC, Wei YT, Chen JM, Wang XN, Ning Y, Li P, Bi B.   +8 more
europepmc   +1 more source

Association between erectile dysfunction and relative fat mass in adult men in the United States. [PDF]

Transl Androl Urol
Luo Z, Lin C, Kim JH, Shin YS, Chung BI.
europepmc   +1 more source

Marketing-AutoM3L: domain-aware automated machine learning for financial customer analytics. [PDF]

Front Artif Intell
Tian Y, Shao W, Deng Z.
europepmc   +1 more source

A 2-tuple Fuzzy Linguistic RFM Model and Its Implementation [PDF]

Procedia Computer Science, 2015
RFM is a model used to analyze the behavior of customer by means of three variables: Recency, Frequency and Monetary. The scores of these variables are expressed by an integer number, typically, in the range 1..5.
Ramon Alberto Carrasco, Enrique Herrera-Viedma   +1 more
exaly   +6 more sources

A New RFM Model Approach: RFMS

, 2023
With the advancement of technology and the widespread use of the Internet, the concept of big data, which we have started to hear of frequently, has emerged.
Akca, Esra, Taşabat, Semra Erpolat, Sertbaş, Salih, Özçay, Tayfun   +3 more
exaly   +3 more sources

An RFM Model Customizable to Product Catalogues and Marketing Criteria Using Fuzzy Linguistic Models: Case Study of a Retail Business

Mathematics, 2021
In the field of strategic marketing, the recency, frequency and monetary (RFM) variables model has been applied for years to determine how solid a database is in terms of spending and customer activity. Retailers almost never obtain data related to their
Ramon Alberto Carrasco, D Gavilan, Rocio Martinez   +2 more
exaly   +2 more sources

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Knowledge discovery on RFM model using Bernoulli sequence

Expert Systems With Applications, 2009
The objective of this paper is to introduce a comprehensive methodology to discover the knowledge for selecting targets for direct marketing from a database. This study expanded RFM model by including two parameters, time since first purchase and churn probability.
I-Cheng Yeh
exaly   +2 more sources

Mining Valuable Fuzzy Patterns via the RFM Model

2022 IEEE International Conference on Data Mining Workshops (ICDMW), 2022
Guoting Chen
exaly   +2 more sources

A stochastic RFM model

Journal of Interactive Marketing, 1999
Abstract A central problem in database marketing is how to choose which customers in the firm's database to target with an offer. This paper presents a simple stochastic RFM model to carry out such a task. By making a few straightforward assumptions about the customers in the database, the stochastic model provides a means of (1) ranking customers in
Richard Colombo, Weina Jiang
openaire   +1 more source