Time series data generation has been exploded in almost every domain such as in
business, industry, medicine, science or entertainment. Consequently, there is an increasing …

Abstract Machine learning (ML)/Artificial Intelligence (AI) has widespread applications and
has revolutionized many industries due to advanced and matured sensor technology, as …

Time series data has become pervasive across domains such as finance, transportation,
retail, entertainment, and healthcare. This shift towards continuous monitoring and …

Applied Time Series Analysis Page 1 Applied Time Series Analysis SS 2020 May 4, 2020 Dr.
Marcel Dettling Institute for Data Analysis and Process Design Zurich University of Applied …

It is a data-rich era, and data exist almost everywhere. One of the greatest challenges
nowadays is how to deal with various kinds of data. It is well known that time series data are …

The process of collecting and organizing sets of observations represents a common theme
throughout the history of science. However, despite the ubiquity of scientists measuring …

This book presents selected peer-reviewed contributions from the International Work-
Conference on Time Series, ITISE 2017, held in Granada, Spain, September 18-20, 2017. It …

Two fundamental tasks in time series analysis are identifying anomalous events (“discords”)
and repeated patterns (“motifs”). Successfully accomplishing these tasks is of the utmost …

Applied Time Series Analysis and Innovative Computing contains the applied time series
analysis and innovative computing paradigms, with frontier application studies for the time …

An intuition-based approach enables you to master time series analysis with ease Time
Series Analysis and Forecasting by Example provides the fundamental techniques in time …