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16th International Conference on Scientific and Statistical Database Management (SSDBM'04)
Santorini Island, Greece
June 21-June 23
ISBN: 0-7695-2146-0
ASCII Text
x 
 
Aihua Xu, Hansheng Lei, "LCGMiner: Levelwise Closed Graph Pattern Mining from Large Databases," Scientific and Statistical Database Management, International Conference on, pp. 421, 16th International Conference on Scientific and Statistical Database Management (SSDBM'04), 2004.
 
 
BibTex
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@article{ 10.1109/SSDM.2004.1311240,
author = {Aihua Xu and Hansheng Lei},
title = {LCGMiner: Levelwise Closed Graph Pattern Mining from Large Databases},
journal ={Scientific and Statistical Database Management, International Conference on},
volume = {0},
year = {2004},
issn = {1099-3371},
pages = {421},
doi = {http://doi.ieeecomputersociety.org/10.1109/SSDM.2004.1311240},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Scientific and Statistical Database Management, International Conference on
TI - LCGMiner: Levelwise Closed Graph Pattern Mining from Large Databases
SN - 1099-3371
SP
EP
A1 - Aihua Xu,
A1 - Hansheng Lei,
PY - 2004
KW - null
VL - 0
JA - Scientific and Statistical Database Management, International Conference on
ER -
 
Aihua Xu, University at Buffalo, State University of New York
Hansheng Lei, University at Buffalo, State University of New York
LCGMiner (Levelwise Closed Graph Pattern Miner) is proposed to improve CloseGraph[CloseGraph: Mining closed frequent graph paterns] in discovering frequent closed subgraphs. Frequent closed edgesets with the same extended vertexsets are expanded in pattern generation compared to one edge or one vertex in traditional methods. Experiments on synthetic datasets as well as a real NIH dataset demonstrates that our algorithm outperforms closeGraph and gSpan.
Citation:
Aihua Xu, Hansheng Lei, "LCGMiner: Levelwise Closed Graph Pattern Mining from Large Databases," ssdbm, pp.421, 16th International Conference on Scientific and Statistical Database Management (SSDBM'04), 2004
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