A Combined Approach for Customer Profiling in Video on Demand Services Using Clustering and Association Rule Mining

A Combined Approach for Customer Profiling in Video on Demand Services Using Clustering and Association Rule Mining

The purpose of this paper is to propose a combined data mining approach for analyzing and profiling customers in video on demand (VoD) services. The proposed approach integrates clustering and association rule mining. For customer segmentation, the LRFMP model is employed alongside the k-means and A...

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Bibliographic Details
Main Authors: Sinem Guney, Serhat Peker, Cigdem Turhan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Customer segmentation
data mining
clustering
association rules
RFM model
VoD services
Online Access:https://ieeexplore.ieee.org/document/9085407/

Internet

https://ieeexplore.ieee.org/document/9085407/

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