Customer Segmentation Using Machine Learning

dc.contributor.authorOsman, Shara Binte
dc.date.accessioned2022-08-11T05:09:05Z
dc.date.available2022-08-11T05:09:05Z
dc.date.issued2022-01-30
dc.description.abstractCustomer 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8394
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8394
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectAdvertising--Supermarkets
dc.subjectCustomer services--Management
dc.titleCustomer Segmentation Using Machine Learning
dc.typeOther

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
162-35-1676.pdf.txt
Size:
38 KB
Format:
Adobe Portable Document Format

Collections