Treffer: A Classification of Arial Data Based on Data Mining Clustering Algorithm
Title:
A Classification of Arial Data Based on Data Mining Clustering Algorithm
Source:
Global Journal of Computer Science and Technology; Vol. 11 No. 22 (2011): GJCST- Interdisciplinary: Volume 11 Issue 22; 77-81 ; 0975-4172 ; 0975-4350
Publisher Information:
Global Journals Inc. (US)
Publication Year:
2011
Collection:
Global Journal of Computer Science and Technology (GJCST)
Subject Terms:
Document Type:
Fachzeitschrift
article in journal/newspaper
File Description:
application/pdf; application/zip; text/xml; text/html; application/epub+zip; text/plain; text/x-tex
Language:
English
Relation:
https://computerresearch.org/index.php/computer/article/view/865/865; https://computerresearch.org/index.php/computer/article/view/865/12-A-Classification-of-Arial-Data-Based-on-Data-_TEI_xml_zip; https://computerresearch.org/index.php/computer/article/view/865/12-A-Classification-of-Arial-Data-Based-on-Data_JATS_NLM_xml; https://computerresearch.org/index.php/computer/article/view/865/12-A-Classification-of-Arial-Data-Based-on-Data-Mining_html; https://computerresearch.org/index.php/computer/article/view/865/12-A-Classification-of-Arial-Data-Based-on-Data-_dbk_xml_zip; https://computerresearch.org/index.php/computer/article/view/865/12-A-Classification-of-Arial-Data-Based-on-Data-Mi_LaTeX_pdf; https://computerresearch.org/index.php/computer/article/view/865/12-A-Classification-of-Arial-Data-Based-on-Data-Mining_epub; https://computerresearch.org/index.php/computer/article/view/865/12-A-Classification-of-Arial-Data-Based-on-Data-Mining_md; https://computerresearch.org/index.php/computer/article/view/865/12-A-Classification-of-Arial-Data-Based-on-Data-Mining_fo; https://computerresearch.org/index.php/computer/article/view/865/12-A-Classification-of-Arial-Data-Based-on-Data-Mining_bib; https://computerresearch.org/index.php/computer/article/view/865/12-A-Classification-of-Arial-Data-Based-on-Data-Mining_tex; https://computerresearch.org/index.php/computer/article/view/865
Rights:
Copyright (c) 2011 Authors and Global Journals Private Limited ; http://creativecommons.org/licenses/by/4.0/
Accession Number:
edsbas.B939E0FF
Database:
BASE
Weitere Informationen
The Arial data contains date periodically observed with parameters of texture min max flora and density min max The proposed Arial prediction system cluster and analyze three input features that is average texture flora average density according to number of days to predict Arial for Surveillance applications The proposed system realizes the k-means clustering algorithm for grouping similar features based on user intended period further the system analyze using PCA Principal Component Analysis on same data