ISSN: 2310-757X
Please use this identifier to cite or link to this item:
http://elar.urfu.ru/handle/10995/99846| Title: | Data-driven approaches to detecting sports betting irregularities |
| Authors: | Zeikos, Amanuel Mehretab Martinez, Jorge Al-lami, Mustafa Ali |
| Issue Date: | 2021 |
| Publisher: | УрФУ |
| Citation: | Zeikos Amanuel Mehretab. Data-driven approaches to detecting sports betting irregularities / Amanuel Mehretab Zeikos, Jorge Martinez, Mustafa Ali Al-lami. — Текст : электронный // Весенние дни науки : сборник докладов Международной конференции студентов и молодых ученых (Екатеринбург, 22–24 апреля 2021 г.). — Екатеринбург : УрФУ, 2021. — C. 339-343. |
| Abstract: | Today, people can place their bets from the commodity of their couches by using their cell phones. This means a person can technically place a bet wherever they are and whenever they want. When you have access to a betting website you can bet on any sport event you can imagine every day and all at times of the day. According to the blog “A Football report” the sports betting industry is worth 3 trillion dollars. For this project, we are going to focus on the most popular sport in the world, Football. |
| Keywords: | ANOMALY DETECTION BETTING SPORTS DATA-DRIVENЮ |
| URI: | http://elar.urfu.ru/handle/10995/99846 |
| Conference name: | Международная конференция студентов и молодых ученых «Весенние дни науки» |
| Conference date: | 22.04.2021-24.04.2021 |
| ISBN: | 978-5-91256-519-9 |
| Origin: | Весенние дни науки. — Екатеринбург, 2021 |
| Appears in Collections: | Конференции, семинары, сборники |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 978-5-91256-519-9_2021_065.pdf | 497,41 kB | Adobe PDF | View/Open |
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