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» Data Mining and Database Systems: Where is the Intersection
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KDD
2007
ACM
179views Data Mining» more  KDD 2007»
16 years 2 days ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
ICML
2010
IEEE
15 years 7 months ago
Detecting Large-Scale System Problems by Mining Console Logs
Surprisingly, console logs rarely help operators detect problems in large-scale datacenter services, for they often consist of the voluminous intermixing of messages from many sof...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
SIGMOD
2001
ACM
124views Database» more  SIGMOD 2001»
16 years 6 months ago
Query Optimization In Compressed Database Systems
Over the last decades, improvements in CPU speed have outpaced improvements in main memory and disk access rates by orders of magnitude, enabling the use of data compression techn...
Zhiyuan Chen, Johannes Gehrke, Flip Korn
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 6 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
AINA
2010
IEEE
15 years 11 months ago
InnoDB Database Forensics
— Whenever data is being processed, there are many places where parts of the data are temporarily stored; thus forensic analysis can reveal past activities, create a (partial) ti...
Peter Fruhwirt, Marcus Huber, Martin Mulazzani, Ed...