Time series databases enable a fundamental step in the central storage and analysis of
many types of machine data. As such, they lie at the heart of the Internet of Things (IoT) …

In order to spot trends in the methodologies and procedures employed, this systematic
literature review will look at works on time series categorization. Six research questions are …

Time series data typically show patterns including trends, seasonal fluctuations, irregular
cycles, and sporadic changes in level or variability in the domains of business, economics …

Time series appear in many scientific fields and are an important type of data. The use of
time series analysis techniques is an essential means of discovering the knowledge hidden …

Time series analytics is a fundamental prerequisite for decision-making as well as
automation and occurs in several applications such as energy load control, weather …

This book is a monograph on case studies using time series analysis, which includes the
main research works applied to practical projects by the author in the past 15 years. The …

In this thesis, we tried to use machine learning capabilities to process time-series data. We
tried to find more modern implemented algorithms applicable to solve regression problems …

Essentials of Time Series for Financial Applications serves as an agile reference for upper
level students and practitioners who desire a formal, easy-to-follow introduction to the most …

In many applications, such as physiology and finance, large time series data bases are to be
analyzed requiring the computation of linear, nonlinear and other measures. Such measures …

A prominent area of data analytics is “timeseries modeling” where it is possible to forecast
future values for the same variable using previous data. Numerous usage examples …