Customer Behavior Analysis Using Rough Set Approach
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| Format: | Artículo científico |
| Language: | en |
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Universidad de Talca
2013
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| _version_ | 1876425733679611904 |
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| author | Prabha Dhandayudam |
| author_facet | Prabha Dhandayudam |
| contents | Customer Behavior Analysis Using Rough Set Approach Prabha Dhandayudam Ilango Krishnamurthi Multidisciplinaria (Ciencias Naturales y Exactas) RFM RFM RFM LEM2 LEM2 The customer relationship management (CRM) is a busi ness methodology used to build long term profitable customers by analyzing customer needs and behaviors. The customer behavior is analyzed by choosing impor- tant attributes in the customer database. The customer s are then segmented into groups according to their attribute values. The rules are generated using rule induction algorithms to describe the customers in each group. These rules can be used by the entrepreneur to predict the behavior of their new customers and to vary the attraction process for existing customers. In this paper a new rule algorithm has been proposed based on the concepts of rough set theory. Its performance has been compared with LEM2 (Learning from Examples Module, version 2) algorithm, an exis ting rough set based rule induction algorithm. Real data set of the custom- er transaction is used for analysis. Recency(R), Frequency (F), Monetary (M) and Payment (P) are the attributes chosen for analyzing customer data. The proposed algorithm on average achieves 0.439% increase in sensitivity, 0.007% increase in specificity, 0.151% increase in accura cy, 0.014% increase in positive predic- tive value, 0.218% increase in negative predictive va lue and 0.228% increase in F-measure when compared to LEM2 algorithm. 2013 artículo científico 0718-1876 https://www.redalyc.org/articulo.oa?id=96528592003 en http://www.redalyc.org/revista.oa?id=965 Journal of Theoretical and Applied Electronic Commerce Research application/pdf Universidad de Talca Journal of Theoretical and Applied Electronic Commerce Research (Chile) Num.2 Vol.8 |
| format | Artículo científico |
| id | redalyc_96528592003 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Universidad de Talca |
| spellingShingle | Customer Behavior Analysis Using Rough Set Approach Prabha Dhandayudam Multidisciplinaria (Ciencias Naturales y Exactas) RFM RFM RFM LEM2 LEM2 Customer Behavior Analysis Using Rough Set Approach Prabha Dhandayudam Ilango Krishnamurthi Multidisciplinaria (Ciencias Naturales y Exactas) RFM RFM RFM LEM2 LEM2 The customer relationship management (CRM) is a busi ness methodology used to build long term profitable customers by analyzing customer needs and behaviors. The customer behavior is analyzed by choosing impor- tant attributes in the customer database. The customer s are then segmented into groups according to their attribute values. The rules are generated using rule induction algorithms to describe the customers in each group. These rules can be used by the entrepreneur to predict the behavior of their new customers and to vary the attraction process for existing customers. In this paper a new rule algorithm has been proposed based on the concepts of rough set theory. Its performance has been compared with LEM2 (Learning from Examples Module, version 2) algorithm, an exis ting rough set based rule induction algorithm. Real data set of the custom- er transaction is used for analysis. Recency(R), Frequency (F), Monetary (M) and Payment (P) are the attributes chosen for analyzing customer data. The proposed algorithm on average achieves 0.439% increase in sensitivity, 0.007% increase in specificity, 0.151% increase in accura cy, 0.014% increase in positive predic- tive value, 0.218% increase in negative predictive va lue and 0.228% increase in F-measure when compared to LEM2 algorithm. 2013 artículo científico 0718-1876 https://www.redalyc.org/articulo.oa?id=96528592003 en http://www.redalyc.org/revista.oa?id=965 Journal of Theoretical and Applied Electronic Commerce Research application/pdf Universidad de Talca Journal of Theoretical and Applied Electronic Commerce Research (Chile) Num.2 Vol.8 |
| title | Customer Behavior Analysis Using Rough Set Approach |
| topic | Multidisciplinaria (Ciencias Naturales y Exactas) RFM RFM RFM LEM2 LEM2 |
| url | https://www.redalyc.org/articulo.oa?id=96528592003 |