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Old Age
Data-Driven Investigative Journalism For Connectas Dataset
April 23, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Aniket Jain, Bhavya Sharma, Paridhi Choudhary, Rohan Sangave, William Yang
arXiv ID
1804.08675
Category
cs.CL: Computation & Language
Citations
4
Venue
arXiv.org
Last Checked
5 months ago
Abstract
The following paper explores the possibility of using Machine Learning algorithms to detect the cases of corruption and malpractice by governments. The dataset used by the authors contains information about several government contracts in Colombia from year 2007 to 2012. The authors begin with exploring and cleaning the data, followed by which they perform feature engineering before finally implementing Machine Learning models to detect anomalies in the given dataset.
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