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Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Conference
Document Title
:
Efficient Implementation of Data Mining: Improve Customer’s Behavior
التطبيق الفعال للتنقيب عن البيانات: تطوير سلوك العملاء
Subject
:
CRM
Document Language
:
English
Abstract
:
Evaluating the performance of any organization is an essential part for overcoming their weaknesses. Customer is always on prior for finding and assessing the company's performance. They are always respectable for every organization. In this paper we first examine the Customer Relationship Management (CRM), especially customer behavior and customer profiling. Then we describe the general overview of most common data mining techniques. The main purpose of this paper is how data mining techniques can extract respectable knowledge from the large customer's database and how to analyze customer behavior to improve business performance. Therefore, we proposed a model for CRM with the efficient implementation of data mining, for improving customer behavior. For this, we evaluate and analyze the customer understanding by using rule induction process on clustered data from customer's database with reference to the customer query.
Conference Name
:
Customer Relationship Management (CRM), Data Mining, Customer Behavior.
Duration
:
From : 00 AH - To : 00 AH
From : 00 AD - To : 00 AD
Publishing Year
:
1430 AH
2009 AD
Number Of Pages
:
00
Article Type
:
Article
Added Date
:
Monday, June 25, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
Abdullah Al- Mudimig
Al- Mudimig, Abdullah
Investigator
Farrukh Saleem
Saleem, Farrukh
Researcher
farrukh800@yahoo.com
Files
File Name
Type
Description
33779.pdf
pdf
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