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@article{142590,
        author = {Akshaya and Nivetha priya.M and Kathika.S},
        title = {Data mining techniques to diagnose heart diseases},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {4},
        pages = {132-134},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=142590},
        abstract = {Heart disease is one of the major cause of gruesome and transience in modern society. Though the medical diagnosis is extremely important, complicated tasks should be performed accurately and efficiently. For heart disease further investigation is needed even though diagnosis and treatment are made. There is a huge data available within the healthcare systems. The availability of various amounts of medical data implies the necessity for powerful data analysis tools to extract useful knowledge. There is a task of effective analysis tools to identify hidden relationships and trends in data. Knowledge discovery and data mining have identified infinite applications in business and scientific field.},
        keywords = {Heart Disease, data mining, SVM, rough set theory, clustering and association rule},
        month = {},
        }