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ICDE
2006
IEEE
167views Database» more  ICDE 2006»
15 years 11 months ago
Better Burst Detection
A burst is a large number of events occurring within a certain time window. As an unusual activity, it's a noteworthy phenomenon in many natural and social processes. Many da...
Xin Zhang, Dennis Shasha
ICSE
2008
IEEE-ACM
15 years 10 months ago
Symbolic mining of temporal specifications
Program specifications are important in many phases of the software development process, but they are often omitted or incomplete. An important class of specifications takes the f...
Mark Gabel, Zhendong Su
CAV
2009
Springer
165views Hardware» more  CAV 2009»
15 years 10 months ago
Symbolic Counter Abstraction for Concurrent Software
Counter Abstraction for Concurrent Software G?erard Basler1 , Michele Mazzucchi1 , Thomas Wahl1,2 , Daniel Kroening1,2 1 Computer Systems Institute, ETH Zurich, Switzerland 2 Compu...
Daniel Kroening, Gérard Basler, Michele Maz...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
15 years 10 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
15 years 10 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu