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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15558

Title: Data Mining for Customer Query in ERP Model- A case study
Authors: Abdullah S. Al-Mudimigh
Keywords: CRM, Data Mining, Clustering, Apriori
Issue Date: 2009
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.
URI: http://hdl.handle.net/123456789/15558
Appears in Collections:College of Computer and Information Sciences

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