CFP last date
22 April 2024
Reseach Article

A Semi- Supervised Technique for Weather Condition Prediction using DBSCAN and KNN

by Aastha Sharma, Setu Chaturvedi, Bhupesh Gour
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 10
Year of Publication: 2014
Authors: Aastha Sharma, Setu Chaturvedi, Bhupesh Gour
10.5120/16631-6500

Aastha Sharma, Setu Chaturvedi, Bhupesh Gour . A Semi- Supervised Technique for Weather Condition Prediction using DBSCAN and KNN. International Journal of Computer Applications. 95, 10 ( June 2014), 21-26. DOI=10.5120/16631-6500

@article{ 10.5120/16631-6500,
author = { Aastha Sharma, Setu Chaturvedi, Bhupesh Gour },
title = { A Semi- Supervised Technique for Weather Condition Prediction using DBSCAN and KNN },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 10 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number10/16631-6500/ },
doi = { 10.5120/16631-6500 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:19:37.338499+05:30
%A Aastha Sharma
%A Setu Chaturvedi
%A Bhupesh Gour
%T A Semi- Supervised Technique for Weather Condition Prediction using DBSCAN and KNN
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 10
%P 21-26
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Weather condition prediction has always been a keen area of interest among researchers and climate change prediction experts. Due to gradual changes in the atmospheric and climatic conditions the appropriate prediction task has become a formidable challenge. In this paper we propose a semi- supervised weather prediction technique to validate the predictions done for certain atmospheric parameters taken for four years on a day wise basis in a certain city. The experimental outcomes of this work show that this semi supervised technique provides appropriate results and can be used for weather condition prediction & analysis.

References
  1. A. B Adeymo, "Soft Computing techniques for weather and Climate change studies ",African journal Of Computing , Vol 6, No. 2, June 2013.
  2. Folorunsho Olaiya, Adesesan Barnabas Adeyemo "Application of Data Mining Techniques in Weather Prediction and Climate Change Studies" I. J. Information Engineering and Electronic Business, 2012, 1, 51-59
  3. Folorunsho Olaiya , Adesesan Barnabas Adeyemo , "Application of Data Mining Techniques in Weather Prediction and Climate Change Studies", I. J. Information Engineering and Electronic Business,February 2012.
  4. Casas D. M, Gonzalez A. T, Rodrgíue J. E. A. , Pet J. V. , 2009, "Using Data-Mining for Short-Term Rainfall Forecasting", Notes in Computer Science, Vol. 5518, 487-490
  5. X. Zhu and A. B. Goldberg" Introduction to Semi-Supervised Learn- ing. Synthesis Lectures on Arti?cial Intelligence and Machine Learning'Morgan & Claypool Publishers, 2009.
  6. R. Sathya, Annamma Abraham "Comparison of Supervised and Unsupervised Learning Algorithms for Pattern Classification"(IJARAI) International Journal of Advanced Research in Artificial Intelligence, Vol. 2, No. 2, 2013
  7. V. Jothi Prakash1, Dr. L. M. Nithya2," A Survey On Semi-Supervised Learning Techniques ", IJCTT ,Vol 8 No. 1, Feb 2014.
  8. M. Ester, H. P. Kriegel, J. Sander, and X. Xu, "A Density Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise," Proc. Sencond Int'l Conf . Knowledge Discovery and Data Mining(KDD), 1996, pp. 226-231.
  9. Zahoor Jan, M. Abrar, Shariq Bashir, and Anwar M. Mirza" Seasonal to Inter-annual Climate Prediction Using Data Mining KNN Technique" © Springer-Verlag Berlin Heidelberg 2008.
  10. V. Jothi Prakash, Dr. L. M. Nithya"A Survey On Semi-Supervised Learning Techniques" International Journal of Computer Trends and Technology (IJCTT) – Vol. 8 number 1– Feb 2014.
  11. Yujie Zheng, "Clustering Methods in Data Mining with its Applications in High Education ", (ICETC2012)IPCSIT vol. 43 (2012) © (2012) IACSIT Press, Singapore
  12. Thair Nu Phyu "Survey of Classification Techniques in Data Mining" Proceedings of the International MultiConference of Engineers and Computer Scientists 2009 Vol. IIMECS 2009, March 18 - 20, 2009, Hong Kong
Index Terms

Computer Science
Information Sciences

Keywords

Clustering DBSCAN Data mining KNN Semi-Supervised.