[图书][B] Practical time series analysis: Prediction with statistics and machine learning

A Nielsen - 2019 - books.google.com
Time series data analysis is increasingly important due to the massive production of such
data through the internet of things, the digitalization of healthcare, and the rise of smart …

Highly comparative time-series analysis

B Fulcher - 2012 - ora.ox.ac.uk
In this thesis, a highly comparative framework for time-series analysis is developed. The
approach draws on large, interdisciplinary collections of over 9000 time-series analysis …

[图书][B] Hands-on time series analysis with Python

BV Vishwas, A Patel - 2020 - Springer
This book explains the concepts of time series from traditional to bleeding-edge techniques
with full-fledged examples. The book begins by covering time-series fundamentals and their …

[图书][B] Time series analysis

W Palma - 2016 - books.google.com
A modern and accessible guide to the analysis of introductory time series data Featuring an
organized and self-contained guide, Time Series Analysis provides a broad introduction to …

[图书][B] A survey of time series analysis

E Parzen - 1960 - apps.dtic.mil
A SURVEY OF TIME SERIES ANALYSIS Search Full text not available: Request assistance
Accession Number: AD0245433 Title: A SURVEY OF TIME SERIES ANALYSIS Personal …

Evaluation of modern tools and techniques for storing time-series data

A Struckov, S Yufa, AA Visheratin, D Nasonov - Procedia Computer …, 2019 - Elsevier
Time series data as its analysis and applications recently have become increasingly
important in different areas and domains. Many fields of science and industry rely on storing …

A review on time series data mining

T Fu - Engineering Applications of Artificial Intelligence, 2011 - Elsevier
Time series is an important class of temporal data objects and it can be easily obtained from
scientific and financial applications. A time series is a collection of observations made …

Feature-based time-series analysis in R using the theft package

T Henderson, BD Fulcher - arXiv preprint arXiv:2208.06146, 2022 - arxiv.org
Time series are measured and analyzed across the sciences. One method of quantifying the
structure of time series is by calculating a set of summary statistics orfeatures', and then …

pyWATTS: Python workflow automation tool for time series

B Heidrich, A Bartschat, M Turowski… - arXiv preprint arXiv …, 2021 - arxiv.org
Time series data are fundamental for a variety of applications, ranging from financial markets
to energy systems. Due to their importance, the number and complexity of tools and methods …

[图书][B] Time Series Analysis: Data, Methods, and Applications

CK Ngan - 2019 - books.google.com
This book aims to provide readers with the current information, developments, and trends in
a time series analysis, particularly in time series data patterns, technical methodologies, and …