Classification Rule Discovery for Diabetes Patients by Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Article{Kumar:2012:IJSCE,
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author = "Raj Kumar2 and Rajesh Verma",
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title = "Classification Rule Discovery for Diabetes Patients by
Using Genetic Programming",
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journal = "International Journal of Soft Computing \&
Engineering",
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year = "2012",
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volume = "2",
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number = "4",
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pages = "183--185",
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month = sep,
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keywords = "genetic algorithms, genetic programming, Discipulus,
Notitia, DM, KDD",
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ISSN = "2231-2307",
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bibsource = "OAI-PMH server at www.doaj.org",
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oai = "oai:doaj-articles:36f4f4d99752cd85b70630624805df8c",
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subject = "Classification; DM; GP; KDD",
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URL = "http://www.ijsce.org/attachments/File/v2i4/D0934082412.pdf",
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URL = "http://www.ijsce.org/v2i4.php",
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size = "3 pages",
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abstract = "The learning algorithms have great application in
knowledge discovery. Learning algorithm offers new
beneficiary ways in for real-world applications.
Genetic Programming (GP)have some advantages due to
which it become suitable for classification in data
mining for Knowledge Discovery(KDD)This paper focuses
on the classification by using the Genetic Programming.
There are various types of the traditional
classification techniques like Naive Bayesian, ID3,
C4.5, CART,kNN, k-mean, SVM etc. The proposed algorithm
is implementation the Diabetes data set and excremental
results are compared with traditional approach",
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notes = "Statlog/datasets/diabetes",
- }
Genetic Programming entries for
Raj Kumar2
Rajesh K Verma
Citations