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» Evaluating algorithms that learn from data streams
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84
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CONEXT
2009
ACM
15 years 1 months ago
FairTorrent: bringing fairness to peer-to-peer systems
Peer-to-Peer file-sharing applications suffer from a fundamental problem of unfairness. Free-riders cause slower download times for others by contributing little or no upload band...
Alex Sherman, Jason Nieh, Clifford Stein
92
Voted
BMCBI
2007
139views more  BMCBI 2007»
15 years 21 days ago
Bioinformatics analysis of the early inflammatory response in a rat thermal injury model
Background: Thermal injury is among the most severe forms of trauma and its effects are both local and systemic. Response to thermal injury includes cellular protection mechanisms...
Eric Yang, Timothy Maguire, Martin L. Yarmush, Fra...
102
Voted
TKDE
2008
125views more  TKDE 2008»
15 years 14 days ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
148
Voted
AI
2012
Springer
13 years 8 months ago
Plan recognition in exploratory domains
This paper describes a challenging plan recognition problem that arises in environments in which agents engage widely in exploratory behavior, and presents new algorithms for eff...
Ya'akov Gal, Swapna Reddy, Stuart M. Shieber, Ande...
119
Voted
ICDE
2011
IEEE
265views Database» more  ICDE 2011»
14 years 4 months ago
RAFTing MapReduce: Fast recovery on the RAFT
MapReduce is a computing paradigm that has gained a lot of popularity as it allows non-expert users to easily run complex analytical tasks at very large-scale. At such scale, task...
Jorge-Arnulfo Quiané-Ruiz, Christoph Pinkel...
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