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» Learning from Highly Structured Data by Decomposition
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CORR
2000
Springer
116views Education» more  CORR 2000»
14 years 9 months ago
Algorithmic Statistics
While Kolmogorov complexity is the accepted absolute measure of information content of an individual finite object, a similarly absolute notion is needed for the relation between a...
Péter Gács, John Tromp, Paul M. B. V...
SIGOPS
2010
162views more  SIGOPS 2010»
14 years 8 months ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig
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...
VLDB
2005
ACM
113views Database» more  VLDB 2005»
15 years 3 months ago
Optimistic Intra-Transaction Parallelism on Chip Multiprocessors
With the advent of chip multiprocessors, exploiting intra-transaction parallelism is an attractive way of improving transaction performance. However, exploiting intra-transaction ...
Christopher B. Colohan, Anastassia Ailamaki, J. Gr...
ECMDAFA
2010
Springer
207views Hardware» more  ECMDAFA 2010»
15 years 2 months ago
An Automated Approach to Transform Use Cases into Activity Diagrams
Use cases are commonly used to structure and document requirements while UML activity diagrams are often used to visualize and formalize use cases, for example to support automated...
Tao Yue, Lionel C. Briand, Yvan Labiche