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ICDCS
2009
IEEE
16 years 1 months ago
Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems
With the growing complexity in computer systems, it has been a real challenge to detect and diagnose problems in today’s large-scale distributed systems. Usually, the correlatio...
Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han
SAC
2010
ACM
15 years 11 months ago
A generative pattern model for mining binary datasets
In many application fields, huge binary datasets modeling real life-phenomena are daily produced. The dataset records are usually associated with observations of some events, and...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
BPM
2009
Springer
161views Business» more  BPM 2009»
15 years 11 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...
MICRO
2008
IEEE
153views Hardware» more  MICRO 2008»
15 years 11 months ago
CPR: Composable performance regression for scalable multiprocessor models
Uniprocessor simulators track resource utilization cycle by cycle to estimate performance. Multiprocessor simulators, however, must account for synchronization events that increas...
Benjamin C. Lee, Jamison D. Collins, Hong Wang 000...
HICSS
2007
IEEE
118views Biometrics» more  HICSS 2007»
15 years 11 months ago
Introducing Executable Product Models for the Service Industry
In these days, companies need highly flexible processes to deal with changing environments and competitors. Using traditional process models that have to be modeled in all detail...
Markus Kress, Joachim Melcher, Detlef Seese