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» Mining Performance Data from Sampled Event Traces
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JIIS
2000
119views more  JIIS 2000»
13 years 4 months ago
Knowledge Discovery from Series of Interval Events
Knowledge discovery from data sets can be extensively automated by using data mining software tools. Techniques for mining series of interval events, however, have not been conside...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
SIGSOFT
2005
ACM
14 years 5 months ago
Performance data collection using a hybrid approach
Performance profiling consists of monitoring a software system during execution and then analyzing the obtained data. There are two ways to collect profiling data: event tracing t...
Edu Metz, Raimondas Lencevicius, Teofilo F. Gonzal...
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
14 years 2 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
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...
BPM
2008
Springer
192views Business» more  BPM 2008»
13 years 6 months ago
Trace Clustering in Process Mining
Process mining has proven to be a valuable tool for analyzing operational process executions based on event logs. Existing techniques perform well on structured processes, but stil...
Minseok Song, Christian W. Günther, Wil M. P....
PAKDD
2009
ACM
87views Data Mining» more  PAKDD 2009»
13 years 11 months ago
Application-Independent Feature Construction from Noisy Samples
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...