This paper is published in Volume-4, Issue-2, 2018
Area
Forecasting in R
Author
Pankaj Garg
Co-authors
Harshit Arora, Rishabh Gambhir
Org/Univ
Maharaja Agrasen Institute of Technology, Rohini, Delhi, India
Pub. Date
26 March, 2018
Paper ID
V4I2-1359
Publisher
Keywords
Machine Learning, Time Series, R, Forecast, ARIMA.

Citationsacebook

IEEE
Pankaj Garg, Harshit Arora, Rishabh Gambhir. Time Series Forecasting using R, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Pankaj Garg, Harshit Arora, Rishabh Gambhir (2018). Time Series Forecasting using R. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Pankaj Garg, Harshit Arora, Rishabh Gambhir. "Time Series Forecasting using R." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

R provides many features to analyze and visualize time-series data. Time series modeling and forecasting are used for various business applications, such as exploring sales patterns and trends, predicting future sales and detecting unusual phenomena. This allows companies to reduce risk, increase profit and achieve cost-effectiveness. Several machine learning algorithms exist that can be used for forecasting, some of which already exist in the forecast package in R. In this paper, we aim to explore some of the commonly used techniques for predictions.  
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