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Segmenting customers by transaction data with concept hierarchy · Study

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ArticleSegmenting customers by transaction data with concept hierarchy

Fang‐Ming Hsu2011

Article2011

Segmenting customers by transaction data with concept hierarchy

Fang‐Ming Hsu · Li-Pang Lu · Chun-Min Lin

37 citations·0/0 files stored·Expert Systems with Applications

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Customer churn and segmentation Advanced Clustering Algorithms Research Data Mining and Machine Learning Applications

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References

2008Application of data mining techniques in customer relationship management: A literature review and classification 2008Classifying the segmentation of customer value via RFM model and RS theory 2003An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry 1994Strategic database marketing 2005Customer segmentation and strategy development based on customer lifetime value: A case study 2001Predicting customer potential value an application in the insurance industry 2009Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty 2004A purchase-based market segmentation methodology

Cited by

2017Statistics-based CRM approach via time series segmenting RFM on large scale data 2018Customer Behavior Mining Framework (CBMF) using clustering and classification techniques 2014A New Application of RFM Clustering for Guild Segmentation to Mine the Pattern of Using Banks’ e-Payment Services 2012Behavior scoring model for coalition loyalty programs by using summary variables of transaction data

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Details

Year2011

Typearticle

Published2011-12-17

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations37

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1016/j.eswa.2011.12.005

openalex_workW2020509627

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