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International Journal of Advanced Technology and Engineering Exploration (IJATEE)

ISSN (Print):2394-5443    ISSN (Online):2394-7454
Volume-6 Issue-53 April-2019
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Paper Title : An efficient SKNN based approach for heart disease classification
Author Name : Heena Farheen Ansari and Varsha Namdeo
Abstract :

An efficient span-k-nearest neighbour (SKNN) algorithm has been proposed. It is used for the categorization of heart disease. The objective is to differentiate the data and find the accuracy of detection. The pre-processing is done based on the three attributes combination that is two, three and four with the help of KNN method. Then it is categorized based on five different spans that are 100, 125, 150, 200 and 250. The proposed work is compared with different factors of SKNN so that the proper capability can be explored. The obtained results show that the proposed approach has the significant capability of better classification.

Keywords : Heart disease, Data mining, KNN, Data classification.
Cite this article : Ansari HF, Namdeo V. An efficient SKNN based approach for heart disease classification. International Journal of Advanced Technology and Engineering Exploration. 2019; 6(53):101-106. DOI:10.19101/IJATEE.2019.650034.
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