A Review of Different Data Mining Techniques in Customer Segmentation

Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
View: 514

This Paper With 14 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:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_JACR-6-3_005

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.

Authors

Tannane Parsa Kord Asiabi

epartment of Computer, PouyandeganDanesh University, Chalous, Iran

Reza Tavoli

Faculty ofDepartment ofMathematics, Islamic Azad University, Chalous Branch (IAUC)