Data preprocessing is known to be essential produce accurate data from which mining methods are able extract valuable knowledge. When constantly arrives one or more sources, techniques need adapted efficiently handle these streams. To help domain experts define and execute tasks for streams, this paper proposes the use of active rule-based systems and, specifically, complex event processing (CE...

Events are crammed with numerous basic elements in today’s management and manufacturing system. Especially, for a large-scale system, there are thousands of independent messages (events) happening every second. How to integrate the information and how to deal with such massive events are faced by most of the system. Event monitoring and processing has been posed in manufacturing corporations to...

Complex event processing (CEP) over event streams has become increasingly important for real-time applications ranging from health care, supply chain management to business intelligence. These monitoring applications submit complex event queries to track sequences of events that match a given pattern. As these systems mature the need for increasingly complex nested sequence query support arises...

Event processing rules may be prescribed in many different ways, including by finite state machines, graphical methods, ECA (event-conditionaction) rules or reactive rules that are triggered by event patterns. In this paper, we present a model for defining event relationships for event processing rules. We propose a so-called correlation set allowing users to graphically model the event correla...

Nowadays, Olympic Games have become one of the most profitable global media events, becoming at the same way more and more attractive target from the terrorist perspective due to their media diffusion and international dimension. Critical for the success of such a highly visible event is protecting and securing the business and the supporting cyber-infrastructure enabling it. In this context, t...

The execution of business processes produces lots of events that can be used by complex event processing systems to analyze and improve the processes. Typically, events are stored in an event log repository that can be used to identify meaningful patterns of events, such that it is possible to react to them during process execution. However, in many cases it is beneficial to deal with those eve...