Abstract
Machine learning and data mining from graph structured data are studied intensively. TTSP (Two-Terminal Series Parallel) graphs are used as data models for electric networks and scheduling. A TTSP graph is a directed a cyclic graph obtained by recursively applying series and parallel operations. We propose an evolutionary method for acquiring characteristic TTSP graph patterns from positive and negative data by using Genetic Programming.
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