A Comparative Study of Three Graph Edit Distance Algorithms

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dc.contributor.author Gao, X
dc.contributor.author Xiao, B
dc.contributor.author Tao, D
dc.contributor.author Li, X
dc.contributor.editor Abraham, A
dc.contributor.editor Hassanien, AE
dc.contributor.editor Snasel, V
dc.date.accessioned 2012-02-14T04:22:34Z
dc.date.issued 2009-01
dc.identifier.citation Studies in Computational Intelligence Vol 205: Foundations of Computational Intelligence vol 5, 2009, 1, 205 pp. 223 - 242
dc.identifier.isbn 978-3-642-01535-9
dc.identifier.other B1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/17242
dc.description.abstract Graph edit distance (GED) is widely applied to similarity measurement of graphs in inexact graph matching. Due to the difficulty of defining cost functions reasonably, we do research oil two GED algorithms without cost function definition: the first is c
dc.publisher Springer
dc.relation.isbasedon 10.1007/978-3-642-01536-6_10
dc.title A Comparative Study of Three Graph Edit Distance Algorithms
dc.type Chapter
dc.parent Studies in Computational Intelligence Vol 205: Foundations of Computational Intelligence vol 5
dc.journal.volume 205
dc.journal.number NA en_US
dc.publocation Berlin en_US
dc.identifier.startpage 223 en_US
dc.identifier.endpage 242 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 111502
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Terms-Graph edit distance (GED); edge direction histogram (EDH); hidden Markov model (HMM) en_US
dc.description.keywords Terms-Graph edit distance (GED)
dc.description.keywords edge direction histogram (EDH)
dc.description.keywords hidden Markov model (HMM)
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)
utslib.collection.history Uncategorised (ID: 363)


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