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- W2532824069 abstract "Customer segmentation has been one of hottest topics of marketing efforts. The traditional sources of data used for segmentation are demographics, monetary value of transactions, types of product/service selected. Today, data gathered by location based services can also be used for customer segmentation. In this chapter a real world case study is summarized and the initial segmentation results are presented. As the application, data gathered from beacons sited in 4000 locations and Fuzzy c-means clustering algorithm are used. The steps of the application are as follows: (1) Categorization of the shops, (2) Summarization of the location data, (3) Applying fuzzy clustering technique, (4) Analyzing the results and profiling. Results show that customers' location data can provide a new perspective to customer segmentation." @default.
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- W2532824069 date "2017-01-01" @default.
- W2532824069 modified "2023-09-27" @default.
- W2532824069 title "A Novel Approach to Segmentation Using Customer Locations Data and Intelligent Techniques" @default.
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- W2532824069 doi "https://doi.org/10.4018/978-1-5225-0997-4.ch002" @default.
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