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Data Mining for Customer Queries in ERP Model A Case Study

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4 Author(s)
Al-Mudimigh, A.S. ; King Saud Univ., Riyadh, Saudi Arabia ; Ullah, Z. ; Saleem, F. ; Al-Aboud, F.N.

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.

Published in:

INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on

Date of Conference:

25-27 Aug. 2009