Process mining is an emerging research area that applies the well-established data mining
solutions to the challenging business process modeling problems. Mining streams of …

We report the results of an empirical study on gaze aversion during dyadic human-to-human
conversation in an interview setting. To address various methodological challenges in …

In this paper, we propose the ball tracking method that is tracking the ball adaptively and
robustly in the soccer video. In the latest works, people have used the Typical Kalman Filter …

Supporting sequential pattern mining from data streams is nowadays a relevant problem in
the area of data stream mining research. Actual proposals available in the literature are …

The accumulation of serial remote sensing images provides plentiful data for discovering
sequential spatial patterns in various fields such as agricultural monitoring, urban …

The question of how to model spatiotemporal similarity between gestures arising in 3D
motion capture data streams is of major significance in currently ongoing research in the …

The majority of clustering approaches focused on static data. However, a big variety of
recent applications and research issues in big data mining require dealing with continuous …

One of the most fundamental challenges when accessing gestural patterns in 3D motion
capture databases is the definition of spatiotemporal similarity. While distance-based …

Almost all activities observed in nowadays applications are correlated with a timing
sequence. Users are mainly looking for interesting sequences out of such data. Sequential …

Recent advances in sensing techniques enabled the possibility to gain precise information
about switched-on devices in smart home environments. One is particularly interested in …