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Analysis of Customer Behavior using Clustering and Association Rules
4 references·0 citing·22 second hop
Analysis of Customer Behavior using Clustering and Association Rules (2012)Analysis of Customer Behavior using Clust…Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA (2011)Measuring the efficiency of c…Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty (2009)Cluster analysis using data m…Application of data mining techniques in customer relationship management: A literature review and classification (2008)Application of data mining te…A Case for Analytical Customer Relationship Management (2002)A Case for Analytical Custome…Data preparation for data mining (1999)Data Mining Cookbook: Modeling Data for Marketing, Risk, and Customer Relationship Management (2000)American Customer Satisfaction Index, 1994 (2004)A Review of Different Data Mining Techniques in Customer Segmentation (2015)The Measurement of Productive Efficiency (1957)Measuring the efficiency of decision making units (1978)Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis (1984)The Relationship between Reputation, Customer Satisfaction, Trust, and Loyalty (2014)The relationship between service quality, satisfaction, trust, value, commitment and loyalty of Internet service providers' customers (2015)Determinants of customer loyalty in the Korean smartphone market: Moderating effects of usage characteristics (2016)The loyalty effect: The hidden force behind growth, profits, and lasting value (1996)Customer Value, Satisfaction, Loyalty, and Switching Costs: An Illustration From a Business-to-Business Service Context (2004)Classifying the segmentation of customer value via RFM model and RS theory (2008)A review of the application of RFM model (2010)Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research (2016)Research on the influence of after-sales service quality factors on customer satisfaction (2020)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Decision Support and Business Intelligence Systems (2006)Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)Big data and disaster management: a systematic review and agenda for future research (2017)A survey towards an integration of big data analytics to big insights for value-creation (2018)
this work references cited by second hop

References

  • 2008Application of data mining techniques in customer relationship management: A literature review and classification1,267 cited
  • 2009Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty227 cited
  • 2011Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA184 cited
  • 2002A Case for Analytical Customer Relationship Management16 cited

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