Recent advances in technology have brought major breakthroughs in data collection,
enabling a large amount of data to be gathered over time and thus generating time series …

Last decades witness a huge growth in medical applications, genetic analysis, and in
performance of manufacturing technologies and automatised production systems. A …

With the deployment of advanced metering infrastructure (AMI), an avalanche of new energy-
use information became available. Better understanding of the actual power consumption …

A time series is “a sequence X=(x1, x2,…, xm) of observed data over time”, where m is the
number of observations. Tracking the behavior of a specific phenomenon/data in time can …

Time series data mining has received much greater interest along with the increase in
temporal data sets from different domains such as medicine, finance, multimedia, etc …

It is vitally important for all countries to ensure they have a secure energy supply. This is
especially true for European Union (EU) countries, because of geopolitical considerations …

Learning from data streams (incremental learning) is increasingly attracting research focus
due to many real-world streaming problems and due to many open challenges, among …

When a comparison between time series is required, measurement functions provide
meaningful scores to characterize similarity between sequences. Quite often, time series …

Distance measures are core building blocks in time-series analysis and the subject of active
research for decades. Unfortunately, the most detailed experimental study in this area is …

In this design study, we present IRVINE, a Visual Analytics (VA) system, which facilitates the
analysis of acoustic data to detect and understand previously unknown errors in the …