Front Inner Page - Volume 3 No.4 August 2016

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  • Title

    :

    Prediction in Data Mining Comparative Study of Heart Disease

    Authors

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    K .Viswanathan1, Dr. K .Mayilvahanan2, R. Christy Pushpaleela 3

    Keywords

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    Heart disease, Prediction, Classification, Decision Table, Bayesian Classifiers, UCI

    Issue Date

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    August 2016

    Abstract

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    Data mining is the process of finding useful and relevant information from the databases. There are several types of data mining techniques are available. Association Rule, Classification, Neural Networks, Clustering are some of the most important data mining techniques. Data mining process may take important role in Health care Industries. Most commonly the data mining process is used in health care industries for the process of prediction of diseases. This paper analysis the Heart Disease prediction approaches using classification technique. Here we are using three different kinds Decision tree, Rule Approaches, Logical statements (ILP), Bayesian Classifiers, Support Vector Machines, k-nearest neighbor classifiers, WEKA, Logistic regression, J48, Genetic Classifiers. We have taken the data set from the UCI repository which is used here.

    Page(s)

    :

    1-4

    ISSN

    :

    2347- 4734

    Source

    :

    Vol. 3, No.4, August 2016

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