e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

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ABSTRACT

Title : HEART DISEAS DATA SET CLASSIFICATIONS: COMPARISONS OF CORRELATION CO EFFICIENT BY APPLYING VARIOUS PARAMETERS IN GAUSSIAN PROCESSES
Authors : Dr.G.Ayyappan, K.SivaKumar
Keywords : Classification, Puk Kernel, Poly kernel, Normalized poly kernel, linear kernel,RBF kernel.
Issue Date : Oct-Nov 2018
Abstract :
Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales, e-commerce, remote sensing, bioinformatics etc. There are varieties of popular data mining task within the educational data mining e.g. classification, clustering, outlier detection, association rule, prediction etc. This paper focuses Gaussian Proesses of the comparisions various correlation coeffient accuracies by applying the different paprameters pruning methods and analysis in weka tool.
Page(s) : 130-134
ISSN : 0976-5166
Source : Vol. 9, No.5
PDF : Download
DOI : 10.21817/indjcse/2018/v9i5/180905019