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Analyzing Machine learning Algorithm for Predicting an Accuracy of Meteorological Data

M. Manikandan1 , R. Mala2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-10 , Page no. 895-899, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.895899

Online published on Oct 31, 2018

Copyright © M. Manikandan, R. Mala . 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: M. Manikandan, R. Mala, “Analyzing Machine learning Algorithm for Predicting an Accuracy of Meteorological Data,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.895-899, 2018.

MLA Style Citation: M. Manikandan, R. Mala "Analyzing Machine learning Algorithm for Predicting an Accuracy of Meteorological Data." International Journal of Computer Sciences and Engineering 6.10 (2018): 895-899.

APA Style Citation: M. Manikandan, R. Mala, (2018). Analyzing Machine learning Algorithm for Predicting an Accuracy of Meteorological Data. International Journal of Computer Sciences and Engineering, 6(10), 895-899.

BibTex Style Citation:
@article{Manikandan_2018,
author = {M. Manikandan, R. Mala},
title = {Analyzing Machine learning Algorithm for Predicting an Accuracy of Meteorological Data},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {895-899},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3114},
doi = {https://doi.org/10.26438/ijcse/v6i10.895899}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.895899}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3114
TI - Analyzing Machine learning Algorithm for Predicting an Accuracy of Meteorological Data
T2 - International Journal of Computer Sciences and Engineering
AU - M. Manikandan, R. Mala
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 895-899
IS - 10
VL - 6
SN - 2347-2693
ER -

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Abstract

Meteorological data analysis in the form of data mining is concerned to predict the knowledge of weather condition. To make an accurate prediction is one of the challenging of meteorologist to survey the weather condition efficiently. Decision tree algorithms are suitable for analyzing the data of meteorological behavior. By evaluates three algorithm of decision tree such as Random Forest, C4.5, C4.5 with Bootstrap aggregation, to analyse the time efficiency and accuracy of classification. These accuracy of algorithm when it operates on trained weather data of selected location. Those locations are selected through monsoon condition based on India country.

Key-Words / Index Term

Randon Forest, C4.5, C4.5 with Bootstrap Algorithm, Meterological Data, Accuracy,Time efficiency

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