Empirical research based on time series is a data intensive activity that needs a data base
management system (DBMS). We investigate the special properties a time series …

Solving time-series problems using informative features has been rising in popularity due to
the availability of numerous software packages for time-series feature extraction. Feature …

Written for those who need an introduction, Applied Time Series Analysis reviews
applications of the popular econometric analysis technique across disciplines. Carefully …

There is nowadays a constant flux of data being generated and collected in all types of real
world systems. These data sets are often indexed by time, space, or both requiring …

Reiterated measurements of an experimentally accessible quantity of a dynamical system
result in a time series, and one may wonder, what this information can tell about the system …

Time series feature engineering is a time-consuming process because scientists and
engineers have to consider the multifarious algorithms of signal processing and time series …

Time series data are ubiquitous in domains as diverse as climate studies, economics and
health care. Mining interesting features from these data is therefore a crucial task with an …

This book is intended to provide researchers with the latest advances in the immensely
broad field of time series analysis and forecasting (more than 200,000 papers published in …

Modern biomedical applications often involve time-series data, from high-throughput
phenotyping of model organisms, through to individual disease diagnosis and treatment …