Predictive Analysis of Air Pollution using Collaborative Filtering Prediction Algorithm
Samieksha Sharma, Akanksha Gupta, Monia Digra MBS College India, SMVD University India
Abstract: Growing trends in Air pollution is possessing threat to environment. Various Researchers have extended their work in predicting air pollution using various predictive analytics. In this paper, we are implementing a predictive model for monitoring air pollution level in different cities of India and publishing it as a web service .The algorithm being used is Collaborative Filtering Prediction Algorithm. A comparison has also been carried out in different predictive analytics mainly
using Machine Learning techniques such as regression and Deep Learning Technique and Collaborative filtering technique.
Keywords: Collaborative filtering, Pearson Coefficient, Heuristics, Deep learning Predictive Analysis of Air Pollution using Collaborative Filtering Prediction Algorithm
References:[1] Boja., Karumari. (2016). Development and evaluation of pollution forecasting model using soft-computing methods for PM10
and SO2 in Ambient Air IEEE 2016.
[2] Martinez, E., Aceves, MA. (2014). Enhancement of a Neuro-Fuzzy Models Using Ant Colony Optimization for the Prediction
Level of CO Pollution IEEE 2014.
[3] CI, Dong –Liang., Kaun, Wang. (2009). Knowledge-based air quality management study by Fuzzy Logic principle, IEEE 2009.
[4] opera and Mihalache. (2016). A comparative study of computational intelligence techniques applied to PM2.5 air pollution
forecasting IEEE 2016.
[5] Cagliero., Cerquitelli. (2016). Modeling Correlations among Air Pollution-Related Data through Generalized Association Rules IEEE 2016,
[6] Liu., Xiang. (2016). Collaborative Bicycle Sensing for Air Pollution on Roadway, IEEE 2016.
[7] Baralis., Cerquitelli. (2016). Analyzing air pollution on the urban environment, IEEE 2016 .
[8] Wang., Xaio. (2016). Prediction of air pollution based on FCM-HMM Multi-model IEEE 2016.
[9] Frischbier, S., Petrov, I. (2010). Aspects of Data-Intensive Cloud Computing, From Active Data Management to Event-Based Systems and More. p. 57-77.
[10] Open Group. (2011). SOA Reference Architecture, The Open Group, .
[11] Sears, R., Ramakrishnan, R. (2012).bLSM: A general purpose log structured merge tree, In: Proc. of SIGMOD 2012.
[12] Bass, C., Clements, P., Kazman, R. (2013).Software Architecture in Practice, Addison Wesley.
