Review on machine learning based customer segmentation (Record no. 23336)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250814155043.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250814b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 27079 |
| Author | Siddiqui, Samreen |
| 245 ## - TITLE STATEMENT | |
| Title | Review on machine learning based customer segmentation |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.10(3), Sep-Dec |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Ghaziabad |
| Name of publisher, distributor, etc. | MAT Journals |
| Year | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 13-24p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The process of gathering and grouping clients into groups of people who share similar traits is known as customer segmentation. To segment a company's client base, keep consumers, and make money from them, customer segmentation has gained popularity in recent years. This divide increases the likelihood that a potential customer will buy an item by enabling advertisers to target a specific group of consumers. It allows them to create and employ clear lines of communication to interact with different clients regarding their offerings and draw them in. A simple strategy would be for the organizations to use radio advertising to reach older listeners and online media posts to attract younger audiences. This aids in establishing stronger client relationships and the organization's overall image as an association. Created clusters assist the business in focusing on specific clients and promoting material to them via social media platforms and marketing campaigns that genuinely interest them. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 27080 |
| Co-Author | Soni, Sunita |
| 773 0# - HOST ITEM ENTRY | |
| Title | Journal of computer science engineering and software testing |
| International Standard Book Number | 2581-6969 |
| Place, publisher, and date of publication | Ghaziabad MAT Journals |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://matjournals.net/engineering/index.php/JOCSES/article/view/943 |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 14/08/2025 | 2025-1322 | 14/08/2025 | 14/08/2025 | Articles Abstract Database |