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A Neuro-Fuzzy Integrated Clustering for Weather Knowledge Analysis

by Sonakshi Dahiya, Yogita Gigras
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 5
Year of Publication: 2015
Authors: Sonakshi Dahiya, Yogita Gigras
10.5120/21222-3945

Sonakshi Dahiya, Yogita Gigras . A Neuro-Fuzzy Integrated Clustering for Weather Knowledge Analysis. International Journal of Computer Applications. 120, 5 ( June 2015), 13-16. DOI=10.5120/21222-3945

@article{ 10.5120/21222-3945,
author = { Sonakshi Dahiya, Yogita Gigras },
title = { A Neuro-Fuzzy Integrated Clustering for Weather Knowledge Analysis },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 5 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number5/21222-3945/ },
doi = { 10.5120/21222-3945 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:26.402447+05:30
%A Sonakshi Dahiya
%A Yogita Gigras
%T A Neuro-Fuzzy Integrated Clustering for Weather Knowledge Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 5
%P 13-16
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Weather Information processing and knowledge extraction is one of the challenging applications of data mining. This process area requires authenticated and intelligent processing to obtain accurate information from the knowledge set. In this work, an intelligent clustering mechanism is defined to acquire such information. This neuro-fuzzy based model is applied on raw dataset defined with various weather characteristics including humidity, temperature, rainfall etc. The work is divided in three main stages. In first stage, the filtration over the dataset is performed to get more relevant information set. In second stage, the clustering is performed to divide the information set in knowledge groups. In final stage, the filtration over the knowledge set is performed to acquire the most effective knowledge. The results show the effective information analysis is obtained from the work.

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Index Terms

Computer Science
Information Sciences

Keywords

Neuro-Fuzzy Weather Forecasting Knowledgeset Clustering.

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