In recent years, a new class of applications has come to the forefront {p-marily due to the
advancement in our ability to collect data from multitudes of devices, and process them e …

Detection-based semantics does not differentiate between event detection and event
occurrence and has been used for detecting events in most of the active systems that …

An innovative event-based lossy compression model for effective and efficient OLAP over
data streams, called ECM-DS, is presented and experimentally assessed in this paper. The …

One of the purposes of this paper is to demonstrate the ubiquitous nature and relevance of
simple and complex events in situation monitoring and other unforeseen applications. This …

In applications such as digital libraries, stock tickers, traffic control, or supply chain
management, composite events have been introduced to enable the capturing of rich …

ABSTRACT Active databases utilize Event-Condition-Action rules to provide active
capability to the underlying system. An event was initially defined to be an instantaneous …

We develop, in this paper, a representation of time and events that supports a range of
reasoning tasks such as monitoring and detection of event patterns which may facilitate the …

Event processing in the form of ECA rules has been researched extensively from the
situation monitoring viewpoint to detect changes in a timely manner and to take appropriate …

Network fault management has been an active research area for a long period of time
because of its complexity, and the returns it generates for service providers. However, most …

Currently, a large class of data-intensive applications, in which data are presented in the
form of continuous data streams rather than static relations, has been widely recognized in …