A Comparative Study of Three Graph Edit Distance Algorithms

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dc.contributor.author Gao, Xinbo en_US
dc.contributor.author Xiao, Bing en_US
dc.contributor.author Tao, Dacheng en_US
dc.contributor.author Li, Xuelong en_US
dc.contributor.editor Ajith Abraham, Aboul-Ella Hassanien and Vaclav Snasel en_US
dc.date.accessioned 2012-02-14T04:22:34Z
dc.date.available 2012-02-14T04:22:34Z
dc.date.issued 2009 en_US
dc.identifier 2011000266 en_US
dc.identifier.citation Gao Xinbo et al. 2009, 'A Comparative Study of Three Graph Edit Distance Algorithms', in http://dx.doi.org/10.1007/978-3-642-01536-6_10 (ed.), Springer-Verlag Berlin, Berlin, pp. 223-242. en_US
dc.identifier.issn 978-3-642-01535-9 en_US
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 en_US
dc.language en_US
dc.publisher Springer en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/978-3-642-01536-6_10 en_US
dc.title A Comparative Study of Three Graph Edit Distance Algorithms en_US
dc.parent Studies in Computational Intelligence Vol 205: Foundations of Computational Intelligence vol 5 en_US
dc.journal.volume 205 en_US
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 080100 en_US
dc.personcode 0000066516 en_US
dc.personcode 0000072400 en_US
dc.personcode 111502 en_US
dc.personcode 0000066518 en_US
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

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