A Comparative Study of Outlier Detection Methods in Heart Disease Data

K. Senthamarai Kannan and D. Kabinath

A Comparative Study of Outlier Detection Methods in Heart Disease Data

Authors

K. Senthamarai Kannan and D. Kabinath

Keywords:

Outlier detection, Heart disease, k-nearest neighbors method, Local outlier factor method.

Abstract

Outlier is defined as an observation that deviates significantly from otherobservations. Identifying outliers can lead to the discovery of valuable andmeaningful information. Over the last few decades

References

M. M. Breunig, H.-P. Kriegel, R. T. Ng, and J. Sander, “LOF: Identifying Density-Based Local Outliers,” in Proc. ACM SIGMOD Int. Conf. on Management of Data, Dallas, TX, USA, 2000, pp. 93–104.

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Published

2024-02-22

How to Cite

K. Senthamarai Kannan and D. Kabinath. (2024). A Comparative Study of Outlier Detection Methods in Heart Disease Data . Journal of Computational Analysis and Applications (JoCAAA), 33(2), 1502–1514. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2991