Predictive Analysis of Air Polluting Factors Using Support Vector Machines Algorithm

EasyChair Preprint 9202

Abstract

Today Growing trends in Air pollution is possessing threat to environment. Various Researchers have extended their work in predicting air polluting using various predictive analytics. and in the recent paper the accuracy is too low and they have did using ANN algorithm . so In this paper, we are implementing a predictive model for monitoring air polluting factors level in different cities of India and publishing it as a web service .The algorithm being used is support vector machines . A comparison has also been carried out in different predictive analytics mainly using Machine Learning techniques support vector machine.

Keyphrases: Accuracy, SVM, machine learning, predictive model

@booklet{EasyChair:9202,
  author    = {Adhikari Durga Venkata Madhav and Addanki Gargeya and Amanchi Sravan Kumar and T. Dhiliphan Rajkumar},
  title     = {Predictive Analysis of Air Polluting Factors Using Support Vector Machines Algorithm},
  howpublished = {EasyChair Preprint 9202},
  year      = {EasyChair, 2022}}