Acquisition of multiple block preserving outerplanar graph patterns by an evolutionary method for graph pattern sets
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- @InProceedings{Tokuhara:2017:IWCIA,
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author = "Fumiya Tokuhara and Tetsuhiro Miyahara and
Tetsuji Kuboyama and Yusuke Suzuki and Tomoyuki Uchida",
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booktitle = "2017 IEEE 10th International Workshop on Computational
Intelligence and Applications (IWCIA)",
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title = "Acquisition of multiple block preserving outerplanar
graph patterns by an evolutionary method for graph
pattern sets",
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year = "2017",
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pages = "191--197",
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abstract = "Knowledge acquisition from graph structured data is an
important task in machine learning and data mining.
Block preserving outer planar graph patterns are graph
structured patterns having structured variables and are
suited to represent characteristic graph structures of
graph data modelled as outerplanar graphs. We propose a
learning method for acquiring characteristic multiple
block preserving outerplanar graph patterns by
evolutionary computation using graph pattern sets as
individuals, from positive and negative outerplanar
graph data, in order to represent characteristic graph
structures more precisely.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/IWCIA.2017.8203583",
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month = nov,
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notes = "Also known as \cite{8203583}",
- }
Genetic Programming entries for
Fumiya Tokuhara
Tetsuhiro Miyahara
Tetsuji Kuboyama
Yusuke Suzuki
Tomoyuki Uchida
Citations