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a_olympia's BibTeX entry:  

Statistical relational learning for document mining

2003.
Authors: A. Popescul and L. Ungar and S. Lawrence and D. Pennock
URL: http://citeseer.ist.psu.edu/popescul03statistical.html
Description: citeulike
Tags: cib document learning mining
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...
| URL | BibTeX  
@misc{citeulike:71559,
title = {Statistical relational learning for document mining},
author = {A. Popescul and L. Ungar and S. Lawrence and D. Pennock},
url = {http://citeseer.ist.psu.edu/popescul03statistical.html},
year = {2003},
description = {citeulike},
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...},
citeulike-article-id = {71559},
keywords = {cib document learning mining }
}