Optimization of Decision Rules in Fuzzy Classification
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- @Article{Arora:2012:IJCA,
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title = "Optimization of Decision Rules in Fuzzy
Classification",
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author = "Renuka Arora and Sudesh Kumar",
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journal = "International Journal of Computer Applications",
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year = "2012",
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volume = "51",
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number = "3",
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pages = "13--17",
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month = aug,
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keywords = "genetic algorithms, genetic programming",
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ISSN = "09758887",
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bibsource = "OAI-PMH server at www.doaj.org",
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language = "eng",
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oai = "oai:doaj-articles:2c58ebd9b3af7344384924c400738db2",
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URL = "http://research.ijcaonline.org/volume51/number3/pxc3880505.pdf",
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DOI = "doi:10.5120/8021-0505",
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publisher = "Foundation of Computer Science (FCS)",
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size = "5 pages",
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abstract = "There are various advances in data collection that can
intelligently and automatically analyse and mine
knowledge from large amounts of data. World Wide Web as
a global information system has flooded us with a
tremendous amount of data and information Discovery of
knowledge and decision-making directly from such huge
volumes of data contents is a real challenge. The
Knowledge Discovery in Databases (KDD) is the process
of extracting the knowledge from huge data collection.
Data mining is a step of KDD in which patterns or
models are extracted from data by using some automated
techniques. Discovering knowledge in the form of
classification rules is one of the most important tasks
of data mining. Discovery of comprehensible, concise
and effective rules helps us to make right decisions.
Therefore, several Machine Learning techniques are
applied for discovery of classification rules. Recently
there have been several applications of genetic
algorithms for effective rules with high predictive
accuracy.",
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notes = "Balloon, Poker",
- }
Genetic Programming entries for
Renuka Arora
Sudesh Kumar
Citations