| 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 |