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 |