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Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction

Zhenkun Liu Orcid Logo, Ying Zhang, Mohammad Abedin, Jianzhou Wang, Hufang Yang, Yuyang Gao, Yinghao Chen Orcid Logo

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

Published in: Journal of Retailing and Consumer Services
ISSN: 0969-6989
Published: Elsevier BV 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa66109
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first_indexed 2024-04-22T07:41:12Z
last_indexed 2024-04-22T07:41:12Z
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spelling v2 66109 2024-04-22 Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction 4ed8c020eae0c9bec4f5d9495d86d415 Mohammad Abedin Mohammad Abedin true false 2024-04-22 CBAE Journal Article Journal of Retailing and Consumer Services 79 103854 Elsevier BV 0969-6989 Decision support systems; Bagging and boosting classifiers; Fusion framework; Potential purchaser prediction 1 7 2024 2024-07-01 10.1016/j.jretconser.2024.103854 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University 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). 2024-05-21T12:30:26.8940911 2024-04-22T08:40:25.2364106 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Zhenkun Liu 0000-0002-5722-3913 1 Ying Zhang 2 Mohammad Abedin 3 Jianzhou Wang 4 Hufang Yang 5 Yuyang Gao 6 Yinghao Chen 0000-0002-9176-8394 7 66109__30423__369e257369bc4261be0dcb41df6ee2f9.pdf 66109_AAM.pdf 2024-05-21T12:21:31.4017138 Output 677483 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
spellingShingle Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
Mohammad Abedin
title_short Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
title_full Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
title_fullStr Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
title_full_unstemmed Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
title_sort Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
author_id_str_mv 4ed8c020eae0c9bec4f5d9495d86d415
author_id_fullname_str_mv 4ed8c020eae0c9bec4f5d9495d86d415_***_Mohammad Abedin
author Mohammad Abedin
author2 Zhenkun Liu
Ying Zhang
Mohammad Abedin
Jianzhou Wang
Hufang Yang
Yuyang Gao
Yinghao Chen
format Journal article
container_title Journal of Retailing and Consumer Services
container_volume 79
container_start_page 103854
publishDate 2024
institution Swansea University
issn 0969-6989
doi_str_mv 10.1016/j.jretconser.2024.103854
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Accounting and Finance{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Accounting and Finance
document_store_str 1
active_str 0
published_date 2024-07-01T12:30:26Z
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