Bimonthly    Since 1986
ISSN 1004-9037
Publication Details
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
 
   
      09 May 2023, Volume 38 Issue 3
    Article

    ANALYSIS AND PREDICTIONS FOR CLIMATE CHANGE DATASET WITH AIR QUALITY INDEX USING DATA MINING AND MACHINE LEARNING APPROACHES
    S. Ravishankar1 and Dr. P. Rajesh2
    Journal of Data Acquisition and Processing, 2023, 38 (3): 2023-2038 . 

    Abstract

    Nowadays, advances in improved climate change data analysis and predictions will result in significantly enhanced national economic opportunities, particularly in the agriculture and energy sectors, as well as different social benefits. Data mining algorithm and machine learning algorithms are the best way to analyze and predict various unsolved problems, particularly in climate change-related issues using data mining and machine learning algorithms like data preprocessing, classification, and decision tree approaches. This paper considers different parameters, namely PM2.5, PM10, NO, NO2, NOx, NH3, CO, SO2, O3, Benzene, Toluene, Xylene and AQI. This paper introduces the most critical analysis and prediction results are finding an optimum and suitable model for predicting climate change through AQI using data mining and machine learning with different accuracy parameters. Numerical illustrations were also provided to prove the proposed research.

    Keyword

    Climate Change, Air Quality Index, Data Mining, Machine Learning, Accuracy Methods.


    PDF Download (click here)

SCImago Journal & Country Rank

ISSN 1004-9037

         

Home
Editorial Board
Author Guidelines
Subscription
Journal of Data Acquisition and Processing
Institute of Computing Technology, Chinese Academy of Sciences
P.O. Box 2704, Beijing 100190 P.R. China
E-mail: info@sjcjycl.cn
 
  Copyright ©2015 JCST, All Rights Reserved