P2P Lending Analysis Using the Most Relevant Graph-Based Features

Cui, Lixin, Bai, Lu, Wang, Yue orcid.org/0000-0002-2482-005X et al. (3 more authors) (2016) P2P Lending Analysis Using the Most Relevant Graph-Based Features. In: Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings. Lecture Notes in Computer Science. Springer, pp. 3-14.

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Item Type: Proceedings Paper
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© 2016 Springer International Publishing AG, 2016. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Dates:
  • Published: 8 November 2016
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
The University of York > Faculty of Sciences (York) > Physics (York)
Depositing User: Pure (York)
Date Deposited: 19 Oct 2016 08:55
Last Modified: 17 Sep 2025 04:32
Published Version: https://doi.org/10.1007/978-3-319-49055-7_1
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Identification Number: 10.1007/978-3-319-49055-7_1
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