A major obstacle to fully integrated deployment
of statistical learners is the assumption that data
sits in a single table, even though most real-world
databases have complex relational structures. In
this paper, we introduce an integrated approach
to building regression models from data stored
in relational databases. Potential features are
generated by structured search of the space of
queries to the database, and then tested for inclusion
in a logistic regression. We present...
%0 Generic
%1 citeulike:71559
%A Popescul, A.
%A Ungar, L.
%A Lawrence, S.
%A Pennock, D.
%D 2003
%K cib document learning mining
%T Statistical relational learning for document mining
%U http://citeseer.ist.psu.edu/popescul03statistical.html
%X A major obstacle to fully integrated deployment
of statistical learners is the assumption that data
sits in a single table, even though most real-world
databases have complex relational structures. In
this paper, we introduce an integrated approach
to building regression models from data stored
in relational databases. Potential features are
generated by structured search of the space of
queries to the database, and then tested for inclusion
in a logistic regression. We present...
@misc{citeulike:71559,
abstract = {A major obstacle to fully integrated deployment
of statistical learners is the assumption that data
sits in a single table, even though most real-world
databases have complex relational structures. In
this paper, we introduce an integrated approach
to building regression models from data stored
in relational databases. Potential features are
generated by structured search of the space of
queries to the database, and then tested for inclusion
in a logistic regression. We present...},
added-at = {2007-08-18T13:22:24.000+0200},
author = {Popescul, A. and Ungar, L. and Lawrence, S. and Pennock, D.},
biburl = {https://www.bibsonomy.org/bibtex/207c741731beed7b16859d2b2a95e9316/a_olympia},
citeulike-article-id = {71559},
description = {citeulike},
interhash = {3bcb76c6628b1752db555f86fe39429e},
intrahash = {07c741731beed7b16859d2b2a95e9316},
keywords = {cib document learning mining},
timestamp = {2007-08-18T13:22:57.000+0200},
title = {Statistical relational learning for document mining},
url = {http://citeseer.ist.psu.edu/popescul03statistical.html},
year = 2003
}