Auto insurance fraud identification based on a CNN-LSTM fusion deep learning model

Huosong Xia; Yanjun Zhou; Zuopeng Zhang

doi:10.1504/IJAHUC.2022.120943

Auto insurance fraud identification based on a CNN-LSTM fusion deep learning model

Huosong Xia, Yanjun Zhou, Zuopeng Zhang

Coggin College of Business

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	37-45
Number of pages	9
Journal	International Journal of Ad Hoc and Ubiquitous Computing
Volume	39
Issue number	1-2
DOIs	https://doi.org/10.1504/IJAHUC.2022.120943
State	Published - 2022
Externally published	Yes

ASJC Scopus Subject Areas

Software
Hardware and Architecture
Computer Networks and Communications

Keywords

Auto insurance fraud
CNN-LSTM
Deep learning

Access to Document

10.1504/IJAHUC.2022.120943

Cite this

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title = "Auto insurance fraud identification based on a CNN-LSTM fusion deep learning model",

keywords = "Auto insurance fraud, CNN-LSTM, Deep learning",

author = "Huosong Xia and Yanjun Zhou and Zuopeng Zhang",

note = "Publisher Copyright: Copyright {\textcopyright} 2022 Inderscience Enterprises Ltd.",

year = "2022",

doi = "10.1504/IJAHUC.2022.120943",

language = "English",

volume = "39",

pages = "37--45",

number = "1-2",

}

TY - JOUR

T1 - Auto insurance fraud identification based on a CNN-LSTM fusion deep learning model

AU - Xia, Huosong

AU - Zhou, Yanjun

AU - Zhang, Zuopeng

PY - 2022

Y1 - 2022

KW - Auto insurance fraud

KW - CNN-LSTM

KW - Deep learning

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DO - 10.1504/IJAHUC.2022.120943

M3 - Article

AN - SCOPUS:85125477318

SN - 1743-8225

VL - 39

SP - 37

EP - 45

JO - International Journal of Ad Hoc and Ubiquitous Computing

JF - International Journal of Ad Hoc and Ubiquitous Computing

IS - 1-2

ER -

Auto insurance fraud identification based on a CNN-LSTM fusion deep learning model

ASJC Scopus Subject Areas

Keywords

Access to Document

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