Advancement in the fields of electronic communication, data processing, and internet
technologies enable easy access to and interaction with a variety of physical devices …

Currently, the data to be explored and exploited by computing systems increases at an
exponential rate. The massive amount of data or so-called “Big Data” put pressure on …

Applications in diverse domains such as astronomy, economics and industrial monitoring,
increasingly press the need for analyzing massive collections of time series data. The sheer …

The proliferation of Internet-of-Things (IoT) applications requires new systems to collect,
store, and analyze time-series data at an enormous scale. We believe that meeting these …

Internet of Things platforms for Smart Cities are technologically complex and deploying them
at large scale involves high costs and risks. Therefore, pilot schemes that allow validating …

Tactile Internet with Human-in-the-Loop describes the change from the current Internet,
which focuses on the democratization of information independent of location or time, to the …

Previously, it was nearly impossible to use raw time series sensory signals for structural
health monitoring due to the inherent high dimensionality of measured data. However …

Smart objects are increasingly widespread and their ecosystem, also known as the Internet
of Things (IoT), is relevant in many application scenarios. The huge amount of temporally …

In the last 15 years, data series motif and discord discovery have emerged as two useful and
well-used primitives for data series mining, with applications to many domains, including …

In the last fifteen years, data series motif discovery has emerged as one of the most useful
primitives for data series mining, with applications to many domains, including robotics …