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» Selecting Operator Queries Using Expected Myopic Gain
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BTW
2011
Springer
218views Database» more  BTW 2011»
12 years 9 months ago
Tracking Hot-k Items over Web 2.0 Streams
Abstract: The rise of the Web 2.0 has made content publishing easier than ever. Yesterday’s passive consumers are now active users who generate and contribute new data to the web...
Parisa Haghani, Sebastian Michel, Karl Aberer
SIGMOD
2011
ACM
267views Database» more  SIGMOD 2011»
12 years 8 months ago
A latency and fault-tolerance optimizer for online parallel query plans
We address the problem of making online, parallel query plans fault-tolerant: i.e., provide intra-query fault-tolerance without blocking. We develop an approach that not only achi...
Prasang Upadhyaya, YongChul Kwon, Magdalena Balazi...
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 6 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
LISA
2007
13 years 8 months ago
Assisted Firewall Policy Repair Using Examples and History
Firewall policies can be extremely complex and difficult to maintain, especially on networks with more than a few hundred machines. The difficulty of configuring a firewall proper...
Robert M. Marmorstein, Phil Kearns
SIGMOD
2009
ACM
202views Database» more  SIGMOD 2009»
14 years 6 months ago
ZStream: a cost-based query processor for adaptively detecting composite events
Composite (or Complex) event processing (CEP) systems search sequences of incoming events for occurrences of userspecified event patterns. Recently, they have gained more attentio...
Yuan Mei, Samuel Madden