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IMPLEMENTATION OF RFM ANALYSIS USING SUPPORT VECTOR MACHINE MODEL

2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2018 2nd International Conference on, 2018
In the modern business customer response is one of the vital characteristics of services. The customer relationship management accurately predict the invaluable customer. Because attention is needed to rate low response rating customers. Most of the direct marketing sectors randomly select and reduce degree of the influencing problem.
Ananthi Sheshasaayee, L. Logeshwari
openaire   +1 more source

RFM-analysis as a tool for segmentation of high-tech products' consumers

2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE), 2016
The method for high-tech products' consumer base analysis based on the RFM-analysis application involving classification methods is presented. Instead of the standard partition of the customer base into quintiles the analytical method of ABC-analysis is applied. It has been revealed that the distribution of customer segments is nonuniform.
Marina E. Tsoy   +1 more
openaire   +1 more source

Fast RFM Analysis in Sequence Data

2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), 2023
Yanxin Zheng   +4 more
openaire   +1 more source

Applying RFM Model and K-Means Method in Customer Value Analysis of an Outfitter

2009
This case study applies RFM model and K-means method in the value analysis of the customer database of an outfitter in Taipei, Taiwan. By considering gender, birth date, shopping frequency, and the total spending, six clusters have been found among 675 member customers from the company's database.
Wu, Hsin Hung   +2 more
openaire   +2 more sources

Applying Basket Analysis and RFM Tool to Analyze of Customer Logs

2018
In this paper a customer business analysis using data mining tools and marketing performance index will be presented. Mechanisms based on machine learning principles will be described and discussed. Customer logs will be analyzed using two different tools and compared for decision making process.
openaire   +1 more source

Customer Segmentation with RFM Analysis using ML Models

2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), 2023
Manpreet Kaur   +4 more
openaire   +1 more source

Predicting customer value per product: From RFM to RFM/P

Journal of Business Research, 2021
Cleo Schmitt Silveira
exaly  

Estimating travellers’ value when purchasing auxiliary services in the airline industry based on the RFM model

Journal of Retailing and Consumer Services, 2023
Yanhong Chen   +2 more
exaly  

AN H-2 ANALYSIS OF STRAIN RFM /Un MICE

Transplantation, 1965
Popp, D M, Amos, D B
openaire   +2 more sources

RFM Analysis

2008
Robert C. Blattberg   +2 more
openaire   +1 more source

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