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GRID
2006
Springer
15 years 3 months ago
Stream processing in data-driven computational science
The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger ap...
Ying Liu, Nithya N. Vijayakumar, Beth Plale
212
Voted
CAISE
2011
Springer
14 years 7 months ago
Supporting Dynamic, People-Driven Processes through Self-learning of Message Flows
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
Christoph Dorn, Schahram Dustdar
ICML
2006
IEEE
16 years 4 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
92
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CHI
2004
ACM
16 years 3 months ago
eyeVox: a collaborative scoring process
This paper describes an audience response process and its supporting systems for use in judged sporting events at the 2004 Athens Olympic Games. It consists of a wireless scoreinp...
Elizabeth Akers, Ric Edinberg, Jenny Fan, Yi Leng ...
BPM
2007
Springer
162views Business» more  BPM 2007»
15 years 9 months ago
The Predictive Aspect of Business Process Intelligence: Lessons Learned on Bridging IT and Business
This paper presents the arguments for a research proposal on predicting business events in a Business Process Intelligence (BPI) context. The paper argues that BPI holds a potentia...
Moisés Lima Pérez, Charles Mø...