Acquisition of characteristic sets of tree patterns with VLDC's using genetic programming and edit distance
Shohei Nakai, Tetsuhiro Miyahara, Yusuke Suzuki, Tetsuji Kuboyama, Tomoyuki Uchida · 2014
Knowledge acquisition from tree structured data is an important task in machine learning and data mining. We propose a learning method for acquiring characteristic sets of 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.