- author = "Raj Kumar2 and Rajesh Verma",
- title = "Classification Rule Discovery for Diabetes Patients by Using Genetic Programming",
- journal = "International Journal of Soft Computing \& Engineering",
- year = "2012",
- volume = "2",
- number = "4",
- pages = "183--185",
- month = sep,
- keywords = "genetic algorithms, genetic programming, Discipulus, Notitia, DM, KDD, Classification, GP",
- ISSN = "2231-2307",
- bibsource = "OAI-PMH server at www.doaj.org",
- oai = "oai:doaj-articles:36f4f4d99752cd85b70630624805df8c",
- subject = "Classification; DM; GP; KDD",
-
URL = "
http://www.ijsce.org/attachments/File/v2i4/D0934082412.pdf",
- broken = "http://www.ijsce.org/v2i4.php",
-
URL = "
https://www.ijsce.org/portfolio-item/D0934082412/",
- size = "3 pages",
- 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",
-
notes = "Statlog/datasets/diabetes
D0934082412/2012 BEIESP",
