Temporal Rule Discovery using Genetic Programming and Specialized Hardware

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{hetland:2002:RASC,

• author = "Magnus Lie Hetland and Pal Saetrom",
• title = "Temporal Rule Discovery using Genetic Programming and Specialized Hardware",
• booktitle = "Proceedings of the 4th International Conference on Recent Advances in Soft Computing",
• year = "2002",
• editor = "Ahmad Lotfi and Jon Garibaldi and Robert John",
• pages = "182--188",
• address = "Nottingham, United Kingdom",
• publisher_address = "Nottingham, United Kingdom",
• month = "12-13 " # dec,
• publisher = "The Nottingham Trent University",
• keywords = "genetic algorithms, genetic programming, Time series, sequence mining, rule discovery, pattern matching hardware",
• ISBN = "1-84233-076-4",
• URL = "http://hetland.org/research/2002/sc2103.pdf",
• URL = "http://citeseer.ist.psu.edu/549830.html",
• 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.",
• notes = "RASC http://www.rasc2002.info/ See also \cite{hetland:2005:ML}",

}

Genetic Programming entries for Magnus Lie Hetland Pal Saetrom

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