Cite this DOI

Jagtap, I., & Babbar, P. N. (2021). Predicting Air Pollutant using Data Mining and Machine Learning Algorithms. *Journal of Science & Technology*, *06*(01), 25–30. https://doi.org/10.46243/jst.2021.v6.i04.pp25-30

@article{jagtap2021predicting,
  author    = {Jagtap, Isha and Babbar, Prof. Nandini},
  title     = {{Predicting Air Pollutant using Data Mining and Machine Learning Algorithms}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {aug},
  volume    = {06},
  number    = {01},
  pages     = {25--30},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i04.pp25-30},
  url       = {https://doi.org/10.46243/jst.2021.v6.i04.pp25-30},
  language  = {en},
  abstract  = {Air pollution can be defined presence of harmful or hazardous substances in the air which deteriorate the quality of air. As we are moving ahead in future the environment is getting polluted day by day due to these biological molecules and harmful gases. These pollutant causes diseases, allergy, etc and death as well. The main aim of this article is to study data mining and machine learning algorithms for predicting air pollutants, especially PM2.5 .So as to control the emission of these harmful substances This is a scientific approach for predicting PM2.5 level in the air using a data set containing different attributes.}
}

TY  - JOUR
TI  - Predicting Air Pollutant using Data Mining and Machine Learning Algorithms
AU  - Jagtap, Isha
AU  - Babbar, Prof. Nandini
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/08/16/
VL  - 06
IS  - 01
SP  - 25
EP  - 30
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Air pollution can be defined presence of harmful or hazardous substances in the air which deteriorate the quality of air. As we are moving ahead in future the environment is getting polluted day by day due to these biological molecules and harmful gases. These pollutant causes diseases, allergy, etc and death as well. The main aim of this article is to study data mining and machine learning algorithms for predicting air pollutants, especially PM2.5 .So as to control the emission of these harmful substances This is a scientific approach for predicting PM2.5 level in the air using a data set containing different attributes.
DO  - 10.46243/jst.2021.v6.i04.pp25-30
UR  - https://doi.org/10.46243/jst.2021.v6.i04.pp25-30
ER  -

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    "DOI": "10.46243/jst.2021.v6.i04.pp25-30",
    "URL": "https://doi.org/10.46243/jst.2021.v6.i04.pp25-30",
    "title": "Predicting Air Pollutant using Data Mining and Machine Learning Algorithms",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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            "family": "Jagtap",
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                2021,
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    "volume": "06",
    "issue": "01",
    "page": "25-30",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Air pollution can be defined presence of harmful or hazardous substances in the air which deteriorate the quality of air. As we are moving ahead in future the environment is getting polluted day by day due to these biological molecules and harmful gases. These pollutant causes diseases, allergy, etc and death as well. The main aim of this article is to study data mining and machine learning algorithms for predicting air pollutants, especially PM2.5 .So as to control the emission of these harmful substances This is a scientific approach for predicting PM2.5 level in the air using a data set containing different attributes.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i04.pp25-30 gives all four in one JSON answer.