Leveraging deep learning with LDA-based text analytics to detect automobile insurance fraud-Reference-Cited by-同舟云学术

Leveraging deep learning with LDA-based text analytics to detect automobile insurance fraud

Published:2018-01 Issue: Volume:105 Page:87-95
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Wang Yibo,Xu Wei

Funder

National Natural Science Foundation of China

Ministry of Education

Hebei Social Science Fund

Fundamental Research Funds

Renmin University of China

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference41 articles.

1. Fraud detection system: a survey;Abdallah;Journal of Network and Computer Applications,2016

2. The effects of experience and explicit fraud risk assessment in detecting fraud with analytical procedures;Knapp;Accounting, Organizations and Society,2001

3. A comparison of state-of-the-art classification techniques for expert automobile insurance claim fraud detection;Viaene;The Journal of Risk and Insurance,2002

4. The application of data mining techniques in financial fraud detection: a classification framework and an academic review of literature;Ngai;Decision Support Systems,2011

5. Fraud and automobile insurance: a report on bodily injury liability claims in Massachusetts;Weisberg;Journal of Insurance Regulation,1991

Cited by 218 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework;Journal of Retailing and Consumer Services;2025-01

2. Blended insurance scheme: A synergistic conventional-index insurance mixture;Insurance: Mathematics and Economics;2024-11

3. Reliability estimation for individual predictions in machine learning systems: A model reliability-based approach;Decision Support Systems;2024-11

4. Research on emergency decision quality evaluation and optimization basing on public sentiment big data analysis;Computers & Industrial Engineering;2024-10

5. Comparative Study of Machine Learning Techniques for Insurance Fraud Detection;Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC);2024-08-06