Improving Time Series Forecasting Using Mathematical and Deep Learning Models

Mohit Gupta; Ayushi Asthana; Nishant Joshi; Pulkit Mehndiratta

doi:10.1007/978-3-030-04780-1_8

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Improving Time Series Forecasting Using Mathematical and Deep Learning Models

Mohit Gupta Ayushi Asthana Nishant Joshi Pulkit Mehndiratta

Year: 2018 Lecture notes in computer science Pages: 115-125 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-04780-1_8

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Keywords:

Autoregressive integrated moving average Computer science Web traffic The Internet Time series Series (stratigraphy) Internet traffic Artificial intelligence Autoregressive–moving-average model Deep learning Machine learning Data mining Autoregressive model World Wide Web Econometrics

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Topics

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Improving Time Series Forecasting Using Mathematical and Deep Learning Models

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