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Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining

Daqing Chen et al.

Journal of Database Marketing & Customer Strategy Management2012https://doi.org/10.1057/dbm.2012.17article
ABDC C
Weight
0.61

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243 citations

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https://doi.org/https://doi.org/10.1057/dbm.2012.17

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@article{daqing2012,
  title        = {{Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining}},
  author       = {Daqing Chen et al.},
  journal      = {Journal of Database Marketing & Customer Strategy Management},
  year         = {2012},
  doi          = {https://doi.org/https://doi.org/10.1057/dbm.2012.17},
}

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Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining

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Evidence weight

0.61

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.66 × 0.4 = 0.26
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.