By the same authors

P2P Lending Analysis Using the Most Relevant Graph-Based Features

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

P2P Lending Analysis Using the Most Relevant Graph-Based Features. / Cui, Lixin; Bai, Lu; Wang, Yue; Bai, Xiao; Zhang, Zhihong; Hancock, Edwin R.

Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings. Springer International Publishing, 2016. p. 3-14 (Lecture Notes in Computer Science; Vol. 10029).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Cui, L, Bai, L, Wang, Y, Bai, X, Zhang, Z & Hancock, ER 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, vol. 10029, Springer International Publishing, pp. 3-14. https://doi.org/10.1007/978-3-319-49055-7_1

APA

Cui, L., Bai, L., Wang, Y., Bai, X., Zhang, Z., & Hancock, E. R. (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 (pp. 3-14). (Lecture Notes in Computer Science; Vol. 10029). Springer International Publishing. https://doi.org/10.1007/978-3-319-49055-7_1

Vancouver

Cui L, Bai L, Wang Y, Bai X, Zhang Z, Hancock ER. 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. Springer International Publishing. 2016. p. 3-14. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-49055-7_1

Author

Cui, Lixin ; Bai, Lu ; Wang, Yue ; Bai, Xiao ; Zhang, Zhihong ; Hancock, Edwin R. / P2P Lending Analysis Using the Most Relevant Graph-Based Features. Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings. Springer International Publishing, 2016. pp. 3-14 (Lecture Notes in Computer Science).

Bibtex - Download

@inproceedings{8c1b5777e11b4fe7936debeeee1db819,
title = "P2P Lending Analysis Using the Most Relevant Graph-Based Features",
author = "Lixin Cui and Lu Bai and Yue Wang and Xiao Bai and Zhihong Zhang and Hancock, {Edwin R.}",
note = "{\textcopyright} 2016 Springer International Publishing AG, 2016. This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details",
year = "2016",
month = nov,
day = "8",
doi = "10.1007/978-3-319-49055-7_1",
language = "English",
isbn = "97833194905571",
series = "Lecture Notes in Computer Science",
publisher = "Springer International Publishing",
pages = "3--14",
booktitle = "Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2016, M{\'e}rida, Mexico, November 29 - December 2, 2016, Proceedings",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - P2P Lending Analysis Using the Most Relevant Graph-Based Features

AU - Cui, Lixin

AU - Bai, Lu

AU - Wang, Yue

AU - Bai, Xiao

AU - Zhang, Zhihong

AU - Hancock, Edwin R.

N1 - © 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

PY - 2016/11/8

Y1 - 2016/11/8

U2 - 10.1007/978-3-319-49055-7_1

DO - 10.1007/978-3-319-49055-7_1

M3 - Conference contribution

SN - 97833194905571

T3 - Lecture Notes in Computer Science

SP - 3

EP - 14

BT - Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings

PB - Springer International Publishing

ER -