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BPM
2008
Springer
192views Business» more  BPM 2008»
13 years 11 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....
BMCBI
2008
138views more  BMCBI 2008»
13 years 10 months ago
Combining transcriptional datasets using the generalized singular value decomposition
Background: Both microarrays and quantitative real-time PCR are convenient tools for studying the transcriptional levels of genes. The former is preferable for large scale studies...
Andreas W. Schreiber, Neil J. Shirley, Rachel A. B...
PODS
2008
ACM
141views Database» more  PODS 2008»
14 years 10 months ago
On the complexity of deriving schema mappings from database instances
We introduce a theoretical framework for discovering relationships between two database instances over distinct and unknown schemata. This framework is grounded in the context of ...
Pierre Senellart, Georg Gottlob
AAAI
2012
12 years 6 days ago
Learning Behavior Models for Hybrid Timed Systems
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
14 years 10 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt