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Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Conference
Document Title
:
Data Mining for Customer Query in ERP Model- A case study
مهام التنقيب عن البيانات الخاصة باستعلامات العملاء في نموذج تخطيط موارد المؤسسات – دراسة حالة
Subject
:
Data Mining
Document Language
:
English
Abstract
:
Customers always play a key role for the establishment or mean of crisis for any organization. In this paper, we applied data mining techniques on MADAR data for the perfection and development of the organization as well as making their customers more and more satisfied and contented. In the presented model we specially kept customers on the top and emphasized and highlighted the role of customers for every organization. By using their characteristics and surroundings we clustered the data on the basis of action taken against the raised question. In addition, the clustered data employed on the Apriori algorithm and finally, we discovered new rules and patterns from the database for formulating the process in adequate and satisfactory milieu. For the best implementation we used two data mining techniques; Clustering and Association Mining, to get most valuable, informative and strong results for this organization. This is the way to have the best association and gratify their customer in future.
Conference Name
:
IEEE/IKM an International Workshop on Interesting Knowledge Mining, Seoul, Korea, 2009, pp 2000- 2005.
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-Mudimigh
Al-Mudimigh, Abdullah
Investigator
Zahid Ullah
Ullah, Zahid
Researcher
Farrukh Saleem
Saleem, Farrukh
Researcher
farrukh800@yahoo.com
Files
File Name
Type
Description
33775.pdf
pdf
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