A Review of Different Data Mining Techniques in Customer Segmentation
Publish place: Journal of Advances in Computer Research، Vol: 6، Issue: 3
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
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تاریخ نمایه سازی: 16 شهریور 1395
Abstract:
Customers are the most valuable asset of an organization. Due to high contestin the business field, it is necessary to regard the Customer RelationshipManagement (CRM) of the enterprise. Data Mining and Machine Learning methodsbeen utilized by businesses in recent years in order to improve CRM. CRM is thestrategy for building, managing, and strengthening loyal and long lasting customerrelationship. Data mining is the knowledge discovery proccess by analyzing the largevolumes of data from various perspectives and summarizing it into usefulinformation. Data mining have a several techinques in CRM but in this article wepresent the basic classification and clustering techniques that used. The target ofthis survey is to provide extensive review of different classification and clustering techniques in customer segmentation.
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Authors
Tannane Parsa Kord Asiabi
epartment of Computer, PouyandeganDanesh University, Chalous, Iran
Reza Tavoli
Faculty ofDepartment ofMathematics, Islamic Azad University, Chalous Branch (IAUC)