2009 International Conference on Information Technology and Computer Science 2009
DOI: 10.1109/itcs.2009.142 View full text |Buy / Rent full text
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“…However, It can be seen from the PCI value of the cluster that reaches 0.86, which means the formed clusters have a good quality based on the validation criterion. The RFM approach that was implemented before the FCM method also influenced the segmentation results as indicated in [1]- [5], which shows that the application of RFM in customer segmentation also gives relatively good results.…”
Section: Cluster Analysis Toward Cross-tabulation Among Partnership School Type and School Regionmentioning
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“…However, It can be seen from the PCI value of the cluster that reaches 0.86, which means the formed clusters have a good quality based on the validation criterion. The RFM approach that was implemented before the FCM method also influenced the segmentation results as indicated in [1]- [5], which shows that the application of RFM in customer segmentation also gives relatively good results.…”
Section: Cluster Analysis Toward Cross-tabulation Among Partnership School Type and School Regionmentioning
“…The evaluation approach that can be applied is the evaluation of loyalty. One method that is widely applied to evaluate loyalty is the analysis of recency, frequency, and monetary (RFM) [1]- [5]. RFM analysis generally applied to customer transaction data, namely the transaction date, transaction amount, and financial amount per transaction [6], [7].…”
Section: Introductionmentioning
“…RFM model is used to represent customer behavior characteristics. This approach records three dimensions of customer transactional data, namely recency, frequency and monetary value, to classify customer behavior (Jinyao Luo, 2009). Combining RFM analysis with statistical method to judge customer value is more convenient than the two methods mentioned above.…”
Section: Introductionmentioning