Implementing A Data Mining Solution To Customer Segmentation For Decayable Products: A Case Study For A Textile Firm

In this paper is developed a model to cluster customers who need to production change continuously. Mere mathematical models to cluster customers lead to ignoring the environment factors in model. Therefore, for Adjusting model to reality, the authors should use environment factors in model building. The proposed model is flexible against changes of environment and it causes to resulted model can use for clustering the customers of decay able productions. Proposed model perform on customer's information of a textile firm.

Provided by: Science and Development Network (SciDev.Net) Topic: Big Data Date Added: Sep 2012 Format: PDF

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