Prediction of Air Quality Using Time Series Data Mining-Reference-Cited by-同舟云学术

Prediction of Air Quality Using Time Series Data Mining

Published:2018-11-20 Issue: Volume: Page:13-20
ISSN:2367-3370
Container-title:International Conference on Innovative Computing and Communications
language:
Short-container-title:

Author:

Yadav Mansi,Jain Suruchi,Seeja K. R.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-2354-6_2

Reference11 articles.

1. Athanasiadis IN, Karatzas KD, Mitkas PA (2006) Classification techniques for air quality forecasting. In: Fifth ECAI workshop on binding environmental sciences and artificial intelligence, 17th European conference on artificial intelligence

2. Niharika, Venkatadri M, Rao PS (2014) A survey on air quality forecasting techniques. Int J Comput Sci Inf Technol 5(1):103–107

3. Kurt A, Gulbagci B, Karaca F, Alagha O (2008) An online air pollution forecasting system using neural networks. Environ Int 34(5):592–598

4. Kandya A, Mohan M (2009) Forecasting the urban air quality using various statistical techniques. In: Proceedings of the 7th international conference on urban climate

5. Peace M, Dirks K, Austin G (2005) 5.24 The prediction of air pollution using a site optimized model and mesoscale model wind forecasts

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Supervised Machine Learning Approaches for Predicting Key Pollutants and for the Sustainable Enhancement of Urban Air Quality: A Systematic Review;Sustainability;2024-01-23

2. Identification and Mitigation Process for the Air Quality Using Machine Learning Techniques;Lecture Notes in Networks and Systems;2024

3. Research on Air Quality Classification Based on KNN and CART;Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management;2023-11-24

4. Finding the Truth From Uncertain Time Series by Differencing;IEEE Open Journal of the Computer Society;2023

5. Discovering Patterns of Time Association Among Air Pollution and Meteorological Variables;Advances in Intelligent Systems and Computing;2021