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» Out-of-Order Event Processing in Kinetic Data Structures
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SAC
1995
ACM
15 years 29 days ago
Load balancing in a distributed processing system for high-energy physics(UFMulti)
Experiments in High Energy Physics (HEP) generate tremendous amounts of data. For example, the accelerator at CERN is expected to generate petabytes per year. New HEP discoveries ...
Jagadeesh Kasaraneni, Theodore Johnson, Paul Avery
BPM
2009
Springer
175views Business» more  BPM 2009»
15 years 4 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira
AAAI
2000
14 years 10 months ago
STA: Spatio-Temporal Aggregation with Applications to Analysis of Diffusion-Reaction Phenomena
Spatio-temporal data sets arise when time-varying physical fields are discretized for simulation or analysis. Examples of time-varying fields are isothermal regions in the sea or ...
Iván Ordóñez, Feng Zhao
ACL
2012
12 years 11 months ago
Towards the Unsupervised Acquisition of Discourse Relations
This paper describes a novel approach towards the empirical approximation of discourse relations between different utterances in texts. Following the idea that every pair of event...
Christian Chiarcos
BPM
2009
Springer
161views Business» more  BPM 2009»
15 years 4 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...