APS
31st APS Annual Convention · 2019
Comparing Data Mining Methods for Prediction of Social Distance
- Yaqi Li
University of Oklahoma - Linle Jiang
University of Southern California - Hairong Song
The University of Oklahoma
Abstract
This study was aimed to compare the accuracy of prediction on closest friendship using data mining techniques, including random forest, Bayesian network, artificial neural network, and logistic regression. Applied with the data crawled from the Facebook website, naïve Bayesian network performed the best with the accuracy as high as 91%.
Statistics and Methodology