Abstract Time Series Classification (TSC) involves building predictive models for a discrete
target variable from ordered, real valued, attributes. Over recent years, a new set of TSC …

Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …

For more than a decade, time series similarity search has been given a great deal of
attention by data mining researchers. As a result, many time series representations and …

Time series shapelets are small, local patterns in a time series that are highly predictive of a
class and are thus very useful features for building classifiers and for certain visualization …

In the last decade, Dynamic Time War** (DTW) has emerged as the distance measure of
choice for virtually all time series data mining applications. This is the result of significant …

Scientists have developed hundreds of techniques to measure the interactions between
pairs of processes in complex systems, but these computational methods—from …

Mobile on-body sensing has distinct advantages for the analysis and understanding of
crowd dynamics: sensing is not geographically restricted to a specific instrumented area …