Journal article 249 views 63 downloads
Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
Zhenkun Liu 
,
Ying Zhang,
Mohammad Abedin,
Jianzhou Wang,
Hufang Yang,
Yuyang Gao,
Yinghao Chen
,
Ying Zhang,
Mohammad Abedin,
Jianzhou Wang,
Hufang Yang,
Yuyang Gao,
Yinghao Chen
Journal of Retailing and Consumer Services, Volume: 79, Start page: 103854
Swansea University Author: Mohammad Abedin
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DOI (Published version): 10.1016/j.jretconser.2024.103854
Abstract
Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
| Published in: | Journal of Retailing and Consumer Services |
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| ISSN: | 0969-6989 |
| Published: |
Elsevier BV
2024
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa66109 |
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| Keywords: |
Decision support systems; Bagging and boosting classifiers; Fusion framework; Potential purchaser prediction |
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| College: |
Faculty of Humanities and Social Sciences |
| Funders: |
This research was supported by the Talent Introduction Research Start-up Fund Project of Nanjing University of Posts and Telecommunications (Grant No. NYY223024), the National Natural Science Foundation of China (Grant No. 72201054), and the Humanities and Social Sciences Youth Foundation of Ministry of Education of China (Grant No. 23YJCZH053). |
| Start Page: |
103854 |