Analysis & Prediction of Sales Data in Sap-ERP System Using Clustering Algorithms

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Provided by: AIRCC
Topic: Big Data
Format: PDF
Clustering is an important data mining technique where the authors will be interested in maximizing intra-cluster distance and also minimizing inter-cluster distance. They have utilized clustering techniques for detecting deviation in product sales and also to identify and compare sales over a particular period of time. Clustering is suited to group items that seem to fall naturally together, when there is no specified class for any new item. They have utilized annual sales data of a steel major to analyze sales volume & value with respect to dependent attributes like products, customers and quantities sold.
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