Journal article
Behavioral attributes and financial churn prediction
- Abstract:
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Customer retention is crucial in a variety of businesses as acquiring new customers is often more costly than keeping the current ones. As a consequence, churn prediction has attracted great attention from both the business and academic worlds. Traditional efforts in the financial domain mainly focus on domain specific variables such as product ownership or service usage aggregation, however, without considering dynamic behavioral patterns of customers’ financial transactions. In this paper, ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 1.9MB)
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- Publisher copy:
- 10.1140/epjds/s13688-018-0165-5
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Authors
Bibliographic Details
- Publisher:
- EDP Sciences Publisher's website
- Journal:
- EPJ Data Science Journal website
- Volume:
- 7
- Article number:
- 41
- Publication date:
- 2018-10-19
- Acceptance date:
- 2018-10-07
- DOI:
- EISSN:
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2193-1127
- Source identifiers:
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936812
Item Description
- Language:
- English
- Keywords:
- Pubs id:
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pubs:936812
- UUID:
-
uuid:ca4c7457-e7aa-464f-a930-aaa877e65737
- Local pid:
- pubs:936812
- Deposit date:
- 2019-01-19
Terms of use
- Copyright holder:
- Kaya et al
- Copyright date:
- 2018
- Notes:
- © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Licence:
- CC Attribution (CC BY)
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