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A Tool for Extracting XML Association Rules
Washington, DC November 04-November 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TAI.2002.118078814th IEEE International Conference on ...
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Daniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, Pier Luca Lanzi, "A Tool for Extracting XML Association Rules," Tools with Artificial Intelligence, IEEE International Conference on, pp. 57, 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02), 2002.
 
 
BibTex
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@article{ 10.1109/TAI.2002.1180788,
author = {Daniele Braga and Alessandro Campi and Stefano Ceri and Mika Klemettinen and Pier Luca Lanzi},
title = {A Tool for Extracting XML Association Rules},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2002},
issn = {1082-3409},
pages = {57},
doi = {http://doi.ieeecomputersociety.org/10.1109/TAI.2002.1180788},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - A Tool for Extracting XML Association Rules
SN - 1082-3409
SP
EP
A1 - Daniele Braga,
A1 - Alessandro Campi,
A1 - Stefano Ceri,
A1 - Mika Klemettinen,
A1 - Pier Luca Lanzi,
PY - 2002
KW - null
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
Daniele Braga, Politecnico di Milano
Alessandro Campi, Politecnico di Milano
Stefano Ceri, Politecnico di Milano
Mika Klemettinen, Nokia Research Center
Pier Luca Lanzi, Politecnico di Milano
The recent success of XML as a standard to represent semi-structured data, and the increasing amount of available XML data, pose new challenges to the data mining community. In this paper we present the X MINE operator a tool we developed to extract XML association rules for XML documents. The operator; that is based on XPath and inspired by the syntax of XQuery, allows us to express complex mining tasks, compactly and intuitively. X MINE can be used to specify indifferently (and simultaneously) mining tasks both on the content and on the structure of the data, since the distinction in XML is slight.
Citation:
Daniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, Pier Luca Lanzi, "A Tool for Extracting XML Association Rules," ictai, pp.57, 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02), 2002
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