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DAC
2005
ACM
14 years 10 months ago
Dynamic slack reclamation with procrastination scheduling in real-time embedded systems
Leakage energy consumption is an increasing concern in current and future CMOS technologygenerations. Procrastination scheduling, where task execution can be delayed to maximize t...
Ravindra Jejurikar, Rajesh K. Gupta
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
14 years 9 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 9 months ago
Scalable discovery of hidden emails from large folders
The popularity of email has triggered researchers to look for ways to help users better organize the enormous amount of information stored in their email folders. One challenge th...
Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 9 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 9 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid