Election Forensics: Using Machine Learning and Synthetic Data for Possible Election Anomaly Detection

Name: Election Forensics: Using Machine Learning and Synthetic Data for Possible Election Anomaly Detection
Creator: Harvard Dataverse
Published: 2019-10-14T21:09:33+08:00

DataCite Commons2025-05-12 更新2025-05-17 收录

选举异常检测

机器学习

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/YZRJWD 数据链接链接失效反馈

官方服务：

资源简介：

This replication package replicates the findings reported in Mali Zhang, R. Michael Alvarez, and Ines Levin, “Election Forensics: Using Machine Learning and Synthetic Data for Possible Election Anomaly Detection.” Forthcoming in PLOS ONE.

提供机构：

Harvard Dataverse

创建时间：

2019-10-14

Election Forensics: Using Machine Learning and Synthetic Data for Possible Election Anomaly Detection

资源简介：

相关数据集