A novel tool for classification of epidemiological data of vector-borne diseases
In this article we present a novel tool that renders efficient classification of epidemiological data of vector-borne diseases. This algorithm has been applied on the data of the Filariasis disease and the results are compared with the well-known k-nearest neighbor algorithm.
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2010-01-01
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Series: | Journal of Global Infectious Diseases |
Subjects: | |
Online Access: | http://www.jgid.org/article.asp?issn=0974-777X;year=2010;volume=2;issue=1;spage=35;epage=38;aulast=Vadrevu |
Summary: | In this article we present a novel tool that renders efficient classification of epidemiological data of vector-borne diseases. This algorithm has been applied on the data of the Filariasis disease and the results are compared with the well-known k-nearest neighbor algorithm. |
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ISSN: | 0974-777X |