Evolving Text Classification Rules with Genetic Programming
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- @Article{journals/aai/HirschSH05,
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title = "Evolving Text Classification Rules with Genetic
Programming",
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author = "Laurence Hirsch and Masoud Saeedi and Robin Hirsch",
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journal = "Applied Artificial Intelligence",
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year = "2005",
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number = "7",
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volume = "19",
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pages = "659--676",
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month = aug,
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bibdate = "2005-12-01",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/aai/aai19.html#HirschSH05",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.journalsonline.tandf.co.uk/openurl.asp?genre=article&issn=0883-9514&volume=19&issue=7&spage=659",
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DOI = "doi:10.1080/08839510590967307",
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abstract = "We describe a novel method for using genetic
programming to create compact classification rules
using combinations of N-grams (character strings).
Genetic programs acquire fitness by producing rules
that are effective classifiers in terms of precision
and recall when evaluated against a set of training
documents. We describe a set of functions and terminals
and provide results from a classification task using
the Reuters 21578 dataset. We also suggest that the
rules may have a number of other uses beyond
classification and provide a basis for text mining
applications.",
- }
Genetic Programming entries for
Laurence Hirsch
Masoud Saeedi
Robin Hirsch
Citations