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Mosquito Borne Disease Incidence Prediction System using Fuzzy Weighted Associative Classification

by M. Kalpana Devi, M. Usha Rani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 13
Year of Publication: 2014
Authors: M. Kalpana Devi, M. Usha Rani
10.5120/15941-5171

M. Kalpana Devi, M. Usha Rani . Mosquito Borne Disease Incidence Prediction System using Fuzzy Weighted Associative Classification. International Journal of Computer Applications. 91, 13 ( April 2014), 15-21. DOI=10.5120/15941-5171

@article{ 10.5120/15941-5171,
author = { M. Kalpana Devi, M. Usha Rani },
title = { Mosquito Borne Disease Incidence Prediction System using Fuzzy Weighted Associative Classification },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 13 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 15-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number13/15941-5171/ },
doi = { 10.5120/15941-5171 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:12:39.431283+05:30
%A M. Kalpana Devi
%A M. Usha Rani
%T Mosquito Borne Disease Incidence Prediction System using Fuzzy Weighted Associative Classification
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 13
%P 15-21
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recently, applications attracted rampant attention in Epidemiology, Medical Entomology, Bio informatics, and Bio surveillance. Data mining applications is greatly useful to all stake holders in the healthcare industry. Associative Classification (AC) is a branch of data mining, a larger area of scientific study. To build a model for the purpose of prediction, AC is a suitable prediction technique, which integrates two data mining tasks, association rule mining and classification. The main aim of classification is the prediction of class labels, while association rule discovery describes relationship between items in a transactional database. Of late, Associative Classifier is having better accuracy as compared to that of traditional classifiers. Mosquito Borne Diseases that place a heavy burden on public health system on most of the tropical countries around the world. There is a need to develop prediction methods to augment existing control strategies. In this paper we use Fuzzy Weighted Associative Classifier to build an effective prediction model to predict mosquito borne disease incidence

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Index Terms

Computer Science
Information Sciences

Keywords

Epidemiology Medical Entomology Bioinformatics Bio surveillance Associative Classification Mosquito Borne Diseases Fuzzy Weighted Associative Classifier.

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