[2D1-GS-2] Machine learning: Evolutionary computation / Network

[2D1-GS-2-01] Acquisition of Block Preserving Outerplanar Graph Patterns using Evolutionary Learning and Block Edit Distance

Keita Yamamoto¹, 〇Tetsuhiro Miyahara¹, Yusuke Suzuki¹, Tetsuji Kuboyama², Tomoyuki Uchida¹ (1. Hiroshima City University, 2. Gakushuin University)

Keywords:evolutionary learning, genetic programming, graph structured pattern

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.