Mining important association rules based on the RFMD technique

International Journal of Data Analysis Techniques and Strategies

Volumn 2, Issue 1, 2010, Pages 1-21

  Asgharzadeh Sekhavat, Yoones ^a   Fathian, Mohammad ^a   Reza Gholamian, Mohammad ^a   Alizadeh, Somayeh ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

association rules; data analysis; data mining; marketing; maximum frequent itemset; recency, frequency, monetary value and duration; RFMD

Indexed keywords

EID: 84858844572     PISSN: 17558050     EISSN: 17558069     Source Type: Journal    
DOI: 10.1504/IJDATS.2010.030008     Document Type: Article

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