Acquisition of Block Preserving Outerplanar Graph Patterns using Evolutionary Learning and Block Edit Distance

Abstract

Machine learning and data mining from graph structured data are studied intensively. We propose a method for acquiring characteristic block preserving outerplanar graph patterns from positive and negative outerplanar graph data, by using evolutionary learning and block edit distance.