Abstract
Knowledge acquisition from graph structured data is an important task in machine learning and data mining. TTSP (Two-Terminal Series Parallel) graphs are used as data models for electric networks and scheduling. We propose a multiple TTSP graph pattern, which is a finite set of TTSP graph patterns, with wildcards and give a clustering procedure of TTSP graphs. Then we propose an evolutionary learning method for obtaining characteristic multiple TTSP graph patterns with wildcards, from positive and negative TTSP graph data by clustering positive TTSP graphs. Experimental results show that our proposed evolutionary learning method obtains characteristic multiple TTSP graph patterns with wildcards.
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