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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 6 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 6 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
SIGMOD
2009
ACM
157views Database» more  SIGMOD 2009»
16 years 6 months ago
FPGA: what's in it for a database?
While there seems to be a general agreement that next years' systems will include many processing cores, it is often overlooked that these systems will also include an increa...
Jens Teubner, René Müller
PODS
2008
ACM
221views Database» more  PODS 2008»
16 years 6 months ago
A generic flow algorithm for shared filter ordering problems
We consider a fundamental flow maximization problem that arises during the evaluation of multiple overlapping queries defined on a data stream, in a heterogenous parallel environm...
Zhen Liu, Srinivasan Parthasarathy 0002, Anand Ran...
MOBISYS
2007
ACM
16 years 5 months ago
Improving mobile database access over wide-area networks without degrading consistency
We report on the design, implementation, and evaluation of a system called Cedar that enables mobile database access with good performance over low-bandwidth networks. This is acc...
Niraj Tolia, Mahadev Satyanarayanan, Adam Wolbach
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