Complex event recognition (CER) applications exhibit various types of uncertainty, ranging
from incomplete and erroneous data streams to imperfect complex event patterns. We …

We present a system for online probabilistic event forecasting. We assume that a user is
interested in detecting and forecasting event patterns, given in the form of regular …

Manufacturers can plan predictive maintenance by remotely monitoring their assets.
However, to extract the necessary insights from monitoring data, they often lack sufficiently …

Events prediction in a sequence of events is a challenging task that can be approached with
data mining. In this paper, we focus on the specific case of early prediction of distant events …

In this paper, we present a distributed online prediction system for user-defined patterns
over multiple massive streams of movement events, built using the general purpose stream …

Episode Rule Mining is utilized in various fields like telecommunication alarm management,
stock market, traffic data, customer transactions etc. Episode rule mining is the extraction of …

Depuis plusieurs années, un nouveau phénomène lié aux données numériques émerge:
des données de plus en plus volumineuses, variées et véloces, apparaissent et sont …

In many application domains, such as maritime surveillance, financial services, network
monitoring, and sensor networks, massive amounts of streaming data are being generated …