Customer clustering based on RFM- CPI model using data mining techniques
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 199
This Paper With 24 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JEOPO-3-1_006
تاریخ نمایه سازی: 19 مهر 1401
Abstract:
Subject and purpose of the paper: the goal of this article is suggesting a new method for increasing the quality of customers clustering with increasing Customer Price Index (CPI) to monetary variable (M).Methodology: At this research, customers of one chain store of Zahedan, Iran according to RFM-CPI and RFM basic model variables and Two-step algorithms are clustered to compare these two procedures. Furthermore, determining the best method for customer clustering can be done. At this research, different steps of data mining and data analysis for discovering the knowledge of them were done according to the standard process of CRISP-DM (۱); this process includes System understanding, Data understanding, data preparation, Modeling, Model assessment and deploymentFindings: According to the results, increasing the Silhouette index at the RFM-CPI model in recent article in comparing with the basic RFM model defines high accuracy.Conclusions: This corrected model has advantages toward the main model; these advantages are contained: monetary changes at a period of time are identified, also according to clustering.
Keywords:
Authors
Abdolmajid Imani
Assistant Professor, Faculty of Management & Economic, University of Sistan and Baluchestan, Zahedan, Iran
Meysam Abbasi
Master of IT Management , Faculty of Management & Economic, University of Sistan and Baluchestan, Zahedan, Iran
Farahnaz Ahang
Ph.D. Student of Public Administration, Faculty of Management & Economic, University of Sistan and Baluchestan, Zahedan, Iran
Hassan Ghaffari
Ph.D. Student of Public Administration, Faculty of Management & Economic, University of Sistan and Baluchestan, Zahedan, Iran