abstract = "Machine learning and data mining from graph structured
data have gained much attention. Many chemical
compounds can be expressed by outerplanar graphs. We
propose a method for acquiring characteristic block
preserving outerplanar graph patterns with wildcards
for vertex and edge labels, from positive and negative
outerplanar graph data, by Genetic Programming using
label connecting information of positive examples. We
report experimental results on real chemical compound
data and synthetic data.",
notes = "Faculty and Graduate School of Information Sciences,
Hiroshima City University, Hiroshima, Japan