How to mitigate mobile fraud risk by data analytics
Seonmin Kim offers an introduction to activities that mitigate the risk of mobile payments through various data analytical skills, drawn from actual case studies of mobile frauds, along with tree-based machine learning, graph analytics, and statistical approaches.
| Talk Title | How to mitigate mobile fraud risk by data analytics |
| Speakers | SEONMIN KIM (LINE) |
| Conference | Strata Data Conference |
| Conf Tag | Making Data Work |
| Location | London, United Kingdom |
| Date | April 30-May 2, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
With the development of mobile internet and finance, fraud risk comes in all shapes and sizes. Seonmin Kim offers an introduction to fraud risk management at LINE using big data analytics. Seonmin describes the various fraud types that can occur in mobile payments and shares various data-driven approaches and activities used to identify and detect them. Topics include:
