Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Rainer von Ammon is active.

Publication


Featured researches published by Rainer von Ammon.


international conference on service oriented computing | 2009

Integrating complex events for collaborating and dynamically changing business processes

Rainer von Ammon; Thomas Ertlmaier; Opher Etzion; Alexander Kofman; Thomas Paulus

Business processes must become agile, respond to changes in the business environment in a timely manner and quickly adapt themselves to new conditions. Event-Driven Business Process Management (ED-BPM) is an enhancement of Business Process Management (BPM) by concepts of Service Oriented Architecture (SOA) and Complex Event Processing (CEP). The most important enhancement is the integration of services accessible via the Internet that fire events into global event clouds. The events can be processed by event processing platforms for aggregating the information into higher value complex business events. These events can be modeled in a business process execution language within a process driven Business Process Management System (BPMS) to trigger changes in control flow of a process or start other services. A reference model and a reference architecture for ED-BPM are presented, based on the NEXOF Reference Architecture. A taxonomy for classifying changes to process flow is proposed. Enhancements have to be applied to the existing standards in the BPM field, including both the design-time and the runtime. A scenario from the banking domain illustrates the main concepts and principles.


distributed event-based systems | 2007

Identification of suspicious, unknown event patterns in an event cloud

Alexander Widder; Rainer von Ammon; Philippe Schaeffer; Christian Wolff

This paper describes an approach to detect unknown event patterns. In this context, an event is not only something that happens, but also something that can be analysed. This task is processed by a Complex Event Processing (CEP) engine. CEP is an emerging technology for detecting known patterns of events and correlating them to complex events in real-time. In order to reach the goal of finding unknown patterns, several known detection algorithms are discussed. In our work, we focus on discriminant analysis used for recognizing unknown patterns for the use case of credit card transactions and the fraud problem connected with this kind of payment. It is necessary to develop new methods of fraud detection and prevention because of the negative impacts for vendors and customers caused by credit card fraudsters at present. At the same time we would like to make provisions for the more sophisticated fraud methods that will occur in the future.


business process management | 2009

Introduction to the Second International Workshop on Event-Driven Business Process Management (edBPM09)

Rainer von Ammon; Opher Etzion; Heiko Ludwig; Adrian Paschke; Nenad Stojanovic

The recently coined term «Event-Driven Business Process Management» (EDBPM) is nowadays an enhancement of BPM by new concepts of Service Oriented Architecture, Event Driven Architecture, Software as a Service, Business Activity Monitoring and Complex Event Processing (CEP). In this context BPM means a software platform which provides companies the ability to model, manage, and optimize these processes for significant gain. As an independent system, CEP is a parallel running platform that analyses and processes events. The BPM- and the CEP-platform correspond via events which are produced by the BPM-workflow engine and by the – if distributed - IT services which are associated with the business process steps. Also events coming from different event sources in different forms can trigger a business process or influence the execution of a process or a service, which can result in another event. Even more, the correlation of these events in a particular context can be treated as a complex, business level event, relevant for the execution of other business processes or services. A business process – arbitrarily fine or coarse grained – can be seen as a service again and can be “choreographed” with other business processes or services, even between different enterprises and organizations.


Encyclopedia of Database Systems | 2008

Event-Driven Business Process Management

Rainer von Ammon; Christoph Emmersberger; Torsten Greiner; Florian Springer; Christian Wolff


dagstuhl seminar proceedings | 2010

10201 Executive Summary and Manifesto - Event Processing.

K. Mani Chandy; Opher Etzion; Rainer von Ammon


distributed event-based systems | 2009

Existing and future standards for event-driven business process management

Rainer von Ammon; Christoph Emmersberger; Thomas Ertlmaier; Opher Etzion; Thomas Paulus; Florian Springer


Archive | 2008

Event-Driven Business Process Management and its Practical Application Taking the Example of DHL

Rainer von Ammon; Christoph Emmersberger; Florian Springer; Christian Wolff


Archive | 2007

Domain Specific Reference Models for Event Patterns - for Faster Developing of Business Activity Monitoring Applications

Christian Silberbauer; Christian Wolff; Rainer von Ammon


ieee international conference on services computing | 2006

Event-Driven Architectures and Complex Event Processing

Opher Etzion; K. Mani Chandy; Rainer von Ammon; W. Roy Schulte


Proceedings of the IEEE | 2008

Combining Discriminant Analysis and Neural Networks for Fraud Detection on the Base of Complex Event Processing

Alexander Widder; Rainer von Ammon; Philippe Schaeffer; Christian Wolff

Collaboration


Dive into the Rainer von Ammon's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

K. Mani Chandy

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Adrian Paschke

Free University of Berlin

View shared research outputs
Top Co-Authors

Avatar

Nenad Stojanovic

Center for Information Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge