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Customer Segmentation Using Machine Learning

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dc.contributor.author Osman, Shara Binte
dc.date.accessioned 2022-08-11T05:09:05Z
dc.date.available 2022-08-11T05:09:05Z
dc.date.issued 2022-01-30
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8394
dc.description.abstract Customer segmentation by using data mining could assist organizations with leading client situated advertising and assembling differentiated systems focused on assorted clients. To enhance a business, it’s very obligate to know about the client minutely, for this purpose customer segmentation is necessary. This exploration is tied in with customer segmentation into gatherings. We have collected our data from a supermarket through customers’ membership cards. We have used unsupervised machine learning, a k-means algorithm for segmentation and clustering. By using unsupervised machine learning and k-means algorithm we get our targeted customers to increment the revenue of the company. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Advertising--Supermarkets en_US
dc.subject Customer services--Management en_US
dc.title Customer Segmentation Using Machine Learning en_US
dc.type Other en_US


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