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2010 IEEE International Conference on Data Mining
Leveraging D-Separation for Relational Data Sets
Sydney, Australia
December 13-December 17
ISBN: 978-0-7695-4256-0
ASCII Text
x 
 
Matthew J.H. Rattigan, David Jensen, "Leveraging D-Separation for Relational Data Sets," Data Mining, IEEE International Conference on, pp. 989-994, 2010 IEEE International Conference on Data Mining, 2010.
 
 
BibTex
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@article{ 10.1109/ICDM.2010.142,
author = {Matthew J.H. Rattigan and David Jensen},
title = {Leveraging D-Separation for Relational Data Sets},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2010},
issn = {1550-4786},
pages = {989-994},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2010.142},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Leveraging D-Separation for Relational Data Sets
SN - 1550-4786
SP989
EP994
A1 - Matthew J.H. Rattigan,
A1 - David Jensen,
PY - 2010
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Testing for marginal and conditional independence is a common task in machine learning and knowledge discovery applications. Prior work has demonstrated that conventional independence tests suffer from dramatically increased rates of Type I errors when naively applied to relational data. We use graphical models to specify the conditions under which these errors occur, and use those models to devise novel and accurate conditional independence tests.
Citation:
Matthew J.H. Rattigan, David Jensen, "Leveraging D-Separation for Relational Data Sets," icdm, pp.989-994, 2010 IEEE International Conference on Data Mining, 2010
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