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

摘要

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.