Acquisition of Characteristic Tree Patterns with VLDC's by Genetic Programming and Edit Distance

Knowledge discovery from structured data is an important task in machine learning and data mining. We propose a learning method for acquiring characteristic tree patterns with VLDC's from positive and negative tree structured data by using Genetic Programming and tree edit distance. We report e...

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Bibliographic Details
Published in2013 Second IIAI International Conference on Advanced Applied Informatics pp. 147 - 151
Main Authors Nakai, Shohei, Miyahara, Tetsuhiro, Kuboyama, Tetsuji, Uchida, Tomoyuki, Suzuki, Yusuke
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2013
Subjects
Accuracy
Data mining
Genetic programming
Learning systems
Pattern matching
Sugar
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Summary:Knowledge discovery from structured data is an important task in machine learning and data mining. We propose a learning method for acquiring characteristic tree patterns with VLDC's from positive and negative tree structured data by using Genetic Programming and tree edit distance. We report experimental results on applying our method to glycan data.
ISBN:9781479921348
1479921343
DOI:10.1109/IIAI-AAI.2013.79