Temporal Rule Discovery using Genetic Programming and Specialized Hardware
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- @InProceedings{hetland:2002:RASC,
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author = "Magnus Lie Hetland and Pal Saetrom",
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title = "Temporal Rule Discovery using Genetic Programming and
Specialized Hardware",
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booktitle = "Proceedings of the 4th International Conference on
Recent Advances in Soft Computing",
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year = "2002",
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editor = "Ahmad Lotfi and Jon Garibaldi and Robert John",
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pages = "182--188",
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address = "Nottingham, United Kingdom",
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publisher_address = "Nottingham, United Kingdom",
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month = "12-13 " # dec,
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publisher = "The Nottingham Trent University",
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keywords = "genetic algorithms, genetic programming, Time series,
sequence mining, rule discovery, pattern matching
hardware",
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ISBN = "1-84233-076-4",
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URL = "http://hetland.org/research/2002/sc2103.pdf",
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URL = "http://citeseer.ist.psu.edu/549830.html",
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abstract = "Discovering association rules is a well-established
problem in the field of data mining, with many existing
solutions. In later years, several methods have been
proposed for mining rules from sequential and temporal
data. This paper presents a novel technique based on
genetic programming and specialized pattern matching
hardware. The advantages of this method are its
exibility and adaptability, and its ability to produce
intelligible rules of considerable complexity.",
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notes = "RASC http://www.rasc2002.info/ See also
\cite{hetland:2005:ML}",
- }
Genetic Programming entries for
Magnus Lie Hetland
Pal Saetrom
Citations