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» Mining program workflow from interleaved traces
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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 6 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
ISSTA
2004
ACM
13 years 10 months ago
Exploiting purity for atomicity
The notion that certain procedures are atomic is a fundamental correctness property of many multithreaded software systems. A procedure is atomic if for every execution there is a...
Cormac Flanagan, Stephen N. Freund, Shaz Qadeer
CIDM
2009
IEEE
13 years 11 months ago
Evolving decision trees using oracle guides
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
Ulf Johansson, Lars Niklasson
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
14 years 6 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...