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Название: Recent Advances in Time Series Forecasting
Автор: Dinesh C.S. Bisht, Mangey Ram
Издательство: CRC Press
Год: 2022
Страниц: 239
Язык: английский
Формат: pdf (true)
Размер: 20.1 MB
A time series is a chronological collection of data. The sequential analysis of data and information gathered from past to present is called time series analysis. Time series data are of high dimension, have a large size and are updated continuously. A time series depends on various factors like trend, seasonality, cycle and irregular data set. A time series is basically a series of data points well-organized in time. Time series forecasting is a significant area of Machine Learning (ML). There are various prediction problems that are time dependent, and these problems can be handled through time series analysis. This book aims to cover the recent advancement in the field of time series analysis. It will cover theoretical as well as recent applications of the time series.
Автор: Dinesh C.S. Bisht, Mangey Ram
Издательство: CRC Press
Год: 2022
Страниц: 239
Язык: английский
Формат: pdf (true)
Размер: 20.1 MB
A time series is a chronological collection of data. The sequential analysis of data and information gathered from past to present is called time series analysis. Time series data are of high dimension, have a large size and are updated continuously. A time series depends on various factors like trend, seasonality, cycle and irregular data set. A time series is basically a series of data points well-organized in time. Time series forecasting is a significant area of Machine Learning (ML). There are various prediction problems that are time dependent, and these problems can be handled through time series analysis. This book aims to cover the recent advancement in the field of time series analysis. It will cover theoretical as well as recent applications of the time series.