Acquisition of multiple block preserving outerplanar graph patterns by an evolutionary method for graph pattern sets

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@InProceedings{Tokuhara:2017:IWCIA,

• author = "Fumiya Tokuhara and Tetsuhiro Miyahara and Tetsuji Kuboyama and Yusuke Suzuki and Tomoyuki Uchida",
• booktitle = "2017 IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA)",
• title = "Acquisition of multiple block preserving outerplanar graph patterns by an evolutionary method for graph pattern sets",
• year = "2017",
• pages = "191--197",
• 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.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/IWCIA.2017.8203583",
• month = nov,
• notes = "Also known as \cite{8203583}",

}

Genetic Programming entries for Fumiya Tokuhara Tetsuhiro Miyahara Tetsuji Kuboyama Yusuke Suzuki Tomoyuki Uchida

Citations