TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Hybrid Fraud Detection Model: Detecting Fraudulent Information in the Healthcare Crowdfunding |
| 영문제목(English Title) |
Hybrid Fraud Detection Model: Detecting Fraudulent Information in the Healthcare Crowdfunding |
| 저자(Author) |
Jaewon Choi
Jaehyoun Kim
Ho Lee
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| 원문수록처(Citation) |
VOL 16 NO. 03 PP. 1006 ~ 1027 (2022. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In the crowdfunding market, various crowdfunding platforms can offer founders the possibilities to collect funding and launch someone’s next campaign, project or events. Especially, healthcare crowdfunding is a field that is growing rapidly on health-related problems based on online platforms. One of the largest platforms, GoFundMe, has raised US$ 5 billion since 2010. Unfortunately, while providing crucial help to care for many people, it is also increasing risk of fraud. Using the largest platform of crowdfunding market, GoFundMe, we conduct an exhaustive search of detection on fraud from October 2016 to September 2019. Data sets are based on 6 main types of medical focused crowdfunding campaigns or events, such as cancer, in vitro fertilization (IVF), leukemia, health insurance, lymphoma and, surgery type. This study evaluated a detect of fraud process to identify fraud from non-fraud healthcare crowdfunding campaigns using various machine learning technics.
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| 키워드(Keyword) |
Crowdfunding
Fraud Detection
Collaborative Filtering
Social SVD
LDA
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| 파일첨부 |
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