Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)

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Clustering similar lenders in P2P lending

Authors
Haifeng Li
Corresponding Author
Haifeng Li
Available Online April 2016.
DOI
10.2991/icemct-16.2016.225How to use a DOI?
Keywords
credit score, cluster, P2P.
Abstract

Online peer-to-peer (P2P) lending has been focused on since it is useful for small companies that are conducted on the website. In this study, we get the lenders and try to cluster them into groups, which can help the P2P company to trace and discovery the VIP customers.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2016
ISBN
978-94-6252-179-7
ISSN
2352-5398
DOI
10.2991/icemct-16.2016.225How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Haifeng Li
PY  - 2016/04
DA  - 2016/04
TI  - Clustering similar lenders in P2P lending
BT  - Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
PB  - Atlantis Press
SP  - 1033
EP  - 1036
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-16.2016.225
DO  - 10.2991/icemct-16.2016.225
ID  - Li2016/04
ER  -