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» Event analyzer: a tool for sequential data processing
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TSP
2008
167views more  TSP 2008»
14 years 7 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
PADS
1999
ACM
15 years 1 months ago
Performance Prediction Tools for Parallel Discrete-Event Simulation
We have developed a set of performance prediction tools which help to estimate the achievable speedups from parallelizing a sequential simulation. The tools focus on two important...
Chu-Cheow Lim, Yoke-Hean Low, Boon-Ping Gan, Sanja...
BPM
2004
Springer
167views Business» more  BPM 2004»
15 years 2 months ago
Mining Social Networks: Uncovering Interaction Patterns in Business Processes
Increasingly information systems log historic information in a systematic way. Workflow management systems, but also ERP, CRM, SCM, and B2B systems often provide a so-called “ev...
Wil M. P. van der Aalst, Minseok Song
CONCURRENCY
2004
151views more  CONCURRENCY 2004»
14 years 9 months ago
User transparency: a fully sequential programming model for efficient data parallel image processing
Although many image processing applications are ideally suited for parallel implementation, most researchers in imaging do not benefit from high performance computing on a daily b...
Frank J. Seinstra, Dennis Koelma
EDBT
2009
ACM
186views Database» more  EDBT 2009»
15 years 4 months ago
Automating the loading of business process data warehouses
Business processes drive the operations of an enterprise. In the past, the focus was primarily on business process design, modeling, and automation. Recently, enterprises have rea...
Malú Castellanos, Alkis Simitsis, Kevin Wil...