Journal article icon

Journal article

Behavioral attributes and financial churn prediction

Abstract:

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, ...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1140/epjds/s13688-018-0165-5

Authors


More by this author
Role:
Author
ORCID:
0000-0002-2748-8531
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Expand authors...
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:
2193-1127
Source identifiers:
936812
Language:
English
Keywords:
Pubs id:
pubs:936812
UUID:
uuid:ca4c7457-e7aa-464f-a930-aaa877e65737
Local pid:
pubs:936812
Deposit date:
2019-01-19

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP