Martin Suntinger

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Event-based systems are gaining increasing popularity for building loosely coupled and distributed systems. Since business processes are becoming more interconnected and event-driven, event-based systems fit well for supporting and monitoring business processes. In this paper, we present an event-based business intelligence tool, the Event Tunnel framework.(More)
Event-based systems monitor business processes in real time. The event-tunnel visualization sees the stream of events captured from such systems as a cylindrical tunnel The tunnel allows for back- tracing business incidents and exploring event patterns' root causes. The authors couple this visualization with tools that let users search for relevant events(More)
Business processes spanning across organizational boundaries inside and outside an enterprise are increasingly becoming common practice in today's networked business environments. Service level agreements (SLAs) are negotiated between enterprises to measure, ensure and enforce service fulfillment and quality in this dynamic context. Often, SLA violations(More)
We present the Contingency Wheel, a visual method for finding and analyzing associations in a large n × m contingency table with m < 100 and n being two to three orders of magnitude larger than m. The method is demonstrated on a large table from the Book-Crossing dataset, which counts the number of ratings each book received from each country. It enables(More)
In this paper we present a generic similarity model for time-stamped sequences of complex business events. It builds upon the idea of deriving similarity from deviations between the pattern sequence and its best-possible representation in the candidate sequence. Which representation is considered optimal solely depends on the analyst's current focus and(More)
Event processing rules may be prescribed in many different ways, including by finite state machines, graphical methods, ECA (event-condition-action) 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(More)
Today's networked business environment requires systems which are adaptive and easy to integrate. Event-based systems have been developed and used to control business processes with loosely coupled systems. Research and product development focused so far on efficiency issues, but neglected simulation support to build robust and efficient event-driven(More)
Expressive and powerful event-pattern rules are key to successful applications of Complex Event Processing (CEP). However, the definition of complex pattern-detection logic may place heavy demands on business users. In this work we present a model for hierarchical event-patterns, allowing users to compose complex patterns from encapsulated, fully-abstracted(More)
Complex Event Processing (CEP) enables companies to monitor and control business processes in near real time. Despite the vast potential of generic CEP frameworks, experience showed that adopters are often overwhelmed with the inherent complexity of CEP, and heavily rely on external expertise to set up the required event-processing logic. In this paper we(More)