DMCA
Correlation and sampling in relational data mining (2001)
Cached
Download Links
by
David Jensen
,
Jennifer Neville
| Venue: | Proceedings of the 33rd Symposium on the Interface of Computing Science and Statistics |
| Citations: | 2 - 1 self |
BibTeX
@INPROCEEDINGS{Jensen01correlationand,
author = {David Jensen and Jennifer Neville},
title = {Correlation and sampling in relational data mining},
booktitle = {Proceedings of the 33rd Symposium on the Interface of Computing Science and Statistics},
year = {2001}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Data mining in relational data poses unique opportunities and challenges. In particular, relational autocorrelation provides an opportunity to increase the predictive power of statistical models, but it can also mislead investigators using traditional sampling approaches to evaluate data mining algorithms. We investigate the problem and provide new sampling approaches that correct the bias associated with traditional sampling. 1.
