Acquisition of Characteristic TTSP Graph Patterns by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Nagai:2012:IIAIAAI,

• author = "Satoshi Nagai and Tetsuhiro Miyahara and Yusuke Suzuki and Tomoyuki Uchida",
• booktitle = "Advanced Applied Informatics (IIAIAAI), 2012 IIAI International Conference on",
• title = "Acquisition of Characteristic TTSP Graph Patterns by Genetic Programming",
• year = "2012",
• pages = "340--344",
• keywords = "genetic algorithms, genetic programming, data mining, directed graphs, learning (artificial intelligence), characteristic TTSP graph patterns, data mining, directed acyclic graph, electric networks, electric scheduling, evolutionary method, graph structured data, machine learning, negative data, positive data, two-terminal series parallel graphs, Data mining, Educational institutions, Evolutionary computation, Sociology, Statistics, graph mining, machine learning",
• DOI = "doi:10.1109/IIAI-AAI.2012.73",
• size = "5 pages",
• 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.",
• notes = "Also known as \cite{6337219}",

}

Genetic Programming entries for Satoshi Nagai Tetsuhiro Miyahara Yusuke Suzuki Tomoyuki Uchida

Citations