Title :
Acquisition of Characteristic Tree Patterns with VLDC´s by Genetic Programming and Edit Distance
Author :
Nakai, Shohei ; Miyahara, Tetsuhiro ; Kuboyama, Tetsuji ; Uchida, Tomoyuki ; Suzuki, Yuya
Author_Institution :
Grad. Sch. of Inf. Sci., Hiroshima City Univ., Hiroshima, Japan
fDate :
Aug. 31 2013-Sept. 4 2013
Abstract :
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.
Keywords :
data mining; genetic algorithms; learning (artificial intelligence); tree data structures; trees (mathematics); characteristic tree pattern acquisition; data mining; genetic programming; glycan data; knowledge discovery; machine learning method; negative tree structured data; positive tree structured data; structured data; tree edit distance; Accuracy; Data mining; Genetic programming; Learning systems; Pattern matching; Sugar;
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2013 IIAI International Conference on
Conference_Location :
Los Alamitos, CA
Print_ISBN :
978-1-4799-2134-8
DOI :
10.1109/IIAI-AAI.2013.79
