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  Published Paper Details:

  Paper Title

SURVEY PAPER ON DIFFERENT TYPES OF PREDICTION ALGORITHM FOR AIR QUALITY INDEX AND COMPARATIVE STUDY ON TYPES OF ALGORITHMS USED

  Authors

  Diana George,  Jayakrishnan.R,  Sam G.Benjamin,  ManoLekshmi.I

  Keywords

Machine Learning, Prediction, Classification Technique, Decision Tree, Accuracy,Random forest.

  Abstract


Air pollution is considered to be a major concern of the day.Many researches has been demonstrated on various fields on regarding air pollution and seeking a stable solution for the problem.Early prediction of air quality and to make it avail and aware to the society being an important aspect.This survey paper present about various machine learning algorithms for Air Quality Index Prediction and in-depth analysis of most relevant machine leaning algorithms available on the literature survey .The discussed techniques are Neural Networks, fuzzy a system, Support Vector Machine, Support Vector Machine for regression, fuzzy logic, Decision Trees, K-Nearest Neighbor,Naive Bayes,Random forest and Decision Trees.We are working on the algorithm with best accuracy.This will help the Government ,environmentalist and the general public to make the plans best.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106197

  Paper ID - 208560

  Page Number(s) - b557-b562

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Diana George,  Jayakrishnan.R,  Sam G.Benjamin,  ManoLekshmi.I,   "SURVEY PAPER ON DIFFERENT TYPES OF PREDICTION ALGORITHM FOR AIR QUALITY INDEX AND COMPARATIVE STUDY ON TYPES OF ALGORITHMS USED", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.b557-b562, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106197.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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