Unique ID: WB25
| Division: | Trade & Competitiveness |
|---|---|
| Issue Date: | February 13th 2019 |
| Last modified: | February 22nd 2019 |
Cost: FREE
Leveraging Big Data to Help Competition Agencies Tackle Anti-Competitive Behavior
Leveraging Big Data to Help Competition Agencies Tackle Anti-Competitive Behavior
Building a database on cartel decisions and cartel characteristics is a key part of the work of the competition policy team. This data is typically collected manually from public sources (i.e. Competition Authorities, media, company websites, and annual reports). Building and maintaining such a repository "by hand" is both time consuming and can yield imperfect results. We propose to develop a tool that combines machine learning techniques and web scraping to build such a database in an efficient manner.
Project Sources
| Type Of Institution: | international organization |
|---|---|
| Region: | Global |
| Country Area: | Global |
| Id Country Regional: | global |
Other
| Timeframe To Produce Indicator: | NA |
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