Misc.

2021

Acquisition of Tag Tree Patterns with Vertex Labels and Wildcards by Evolutionary Learning using Label Information

Proceedings of the Annual Conference of JSAI
  • YOKOYAMA Shunsuke
  • ,
  • MIYAHARA Tetsuhiro
  • ,
  • SUZUKI Yusuke
  • ,
  • UCHIDA Tomoyuki
  • ,
  • KUBOYAMA Tetsuji

Volume
JSAI2021
Number
First page
4G3GS2l02
Last page
4G3GS2l02
Language
Japanese
Publishing type
DOI
10.11517/pjsai.jsai2021.0_4g3gs2l02
Publisher
The Japanese Society for Artificial Intelligence

Machine learning and data mining from tree structured data are studied intensively. We propose an evolutionary learning method for acquiring characteristic tag tree patterns with vertex labels and wildcards from positive and negative tree data, by using label information of positive examples. We report preliminary experimental results on our evolutionary learning method.

Link information
DOI
https://doi.org/10.11517/pjsai.jsai2021.0_4g3gs2l02
CiNii Research
https://cir.nii.ac.jp/crid/1390006895523939456?lang=en
ID information
  • DOI : 10.11517/pjsai.jsai2021.0_4g3gs2l02
  • CiNii Articles ID : 130008051939
  • CiNii Research ID : 1390006895523939456

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