Acquisition of Characteristic TTSP Graph Patterns by Genetic Programming
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- @InProceedings{Nagai:2012:IIAIAAI,
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author = "Satoshi Nagai and Tetsuhiro Miyahara and
Yusuke Suzuki and Tomoyuki Uchida",
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booktitle = "Advanced Applied Informatics (IIAIAAI), 2012 IIAI
International Conference on",
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title = "Acquisition of Characteristic TTSP Graph Patterns by
Genetic Programming",
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year = "2012",
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pages = "340--344",
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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",
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DOI = "doi:10.1109/IIAI-AAI.2012.73",
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size = "5 pages",
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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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notes = "Also known as \cite{6337219}",
- }
Genetic Programming entries for
Satoshi Nagai
Tetsuhiro Miyahara
Yusuke Suzuki
Tomoyuki Uchida
Citations