V. Kayalvizhy1
, M. IdaRose2
Section:Research Paper, Product Type: Journal Paper
Volume-07 ,
Issue-02 , Page no. 5-8, Jan-2019
Online published on Jan 31, 2019
Copyright © V. Kayalvizhy, M. IdaRose . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: V. Kayalvizhy, M. IdaRose, “Pattern Analysis of H1N1 Swine flu using Data Mining Technique in Health Hazards,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.02, pp.5-8, 2019.
MLA Style Citation: V. Kayalvizhy, M. IdaRose "Pattern Analysis of H1N1 Swine flu using Data Mining Technique in Health Hazards." International Journal of Computer Sciences and Engineering 07.02 (2019): 5-8.
APA Style Citation: V. Kayalvizhy, M. IdaRose, (2019). Pattern Analysis of H1N1 Swine flu using Data Mining Technique in Health Hazards. International Journal of Computer Sciences and Engineering, 07(02), 5-8.
BibTex Style Citation:
@article{Kayalvizhy_2019,
author = {V. Kayalvizhy, M. IdaRose},
title = {Pattern Analysis of H1N1 Swine flu using Data Mining Technique in Health Hazards},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {07},
Issue = {02},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {5-8},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=636},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=636
TI - Pattern Analysis of H1N1 Swine flu using Data Mining Technique in Health Hazards
T2 - International Journal of Computer Sciences and Engineering
AU - V. Kayalvizhy, M. IdaRose
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 5-8
IS - 02
VL - 07
SN - 2347-2693
ER -
In health care industries many concerns preserve their medical data as electronic data. In India especially for Tamil Nadu people are affected by H1N1 Swine flu is the name for the influenza type a virus that affects pigs (swine). This paper recognizes the various risk elements associated with high level of infection and can include fever, bronchitis, and then using the data mining clustering algorithms to find novelty hidden pattern which helpful to take decision and construction of societal monetary real world health hazard. In Present there is a necessary for accomplished data mining analysis tools to decide and making patters for the health hazards. To recognize the interesting patterns and knowledge based intellectual methods are applied to extract data patterns and scrutinize the worth of a diversity of data mining techniques are used in this health domain.
Data Mining, H1N1 Swine flu, Clustering, Pattern Evaluation, Health Hazards
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