Publication Type:

Book Chapter

Source:

International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018, p.611-618 (2019)

ISBN:

9783030031459

URL:

https://www.researchgate.net/publication/329823684_Prediction_Analysis_on_Web_Traffic_Data_Using_Time_Series_Modeling_RNN_and_Ensembling_Techniques

Abstract:

In the present day web traffic holds the major segment of Internet based traffic. This information can be retrieved by building number of visits for a particular page by number of callers which helps to know the popularity of the webpage. So predicting the web traffic for further can help to maintain unforeseen traffic load there by deducting the Slashdot effect and Flash crowd effects. In this paper we mainly pivot on forecasting the Wikipedia web traffic using Ensembling technique called Boosting – AdaBoostRegressor, RNN technique LSTM and Time series modelling technique ARIMA. Further achievement of best technique of the models has been examined.

Cite this Research Publication

N. Reddy Mettu and Sasikala, T., “Prediction Analysis on Web Traffic Data Using Time Series Modeling, RNN and Ensembling Techniques”, in International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018, 2019, pp. 611-618.