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» Evaluating algorithms that learn from data streams
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INFOCOM
2006
IEEE
14 years 2 months ago
Reverse Hashing for High-Speed Network Monitoring: Algorithms, Evaluation, and Applications
— A key function for network traffic monitoring and analysis is the ability to perform aggregate queries over multiple data streams. Change detection is an important primitive w...
Robert T. Schweller, Zhichun Li, Yan Chen, Yan Gao...
EPIA
2003
Springer
14 years 1 months ago
Mining Low Dimensionality Data Streams of Continuous Attributes
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
BMCBI
2010
118views more  BMCBI 2010»
13 years 8 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
ICDE
2003
IEEE
209views Database» more  ICDE 2003»
14 years 10 months ago
An Evaluation of Regular Path Expressions with Qualifiers against XML Streams
This paper presents SPEX, a streamed and progressive evaluation of regular path expressions with XPath-like qualifiers against XML streams. SPEX proceeds as follows. An expression...
Dan Olteanu, François Bry, Tobias Kiesling
SIGMETRICS
2005
ACM
127views Hardware» more  SIGMETRICS 2005»
14 years 2 months ago
A data streaming algorithm for estimating subpopulation flow size distribution
Statistical information about the flow sizes in the traffic passing through a network link helps a network operator to characterize network resource usage, infer traffic demands,...
Abhishek Kumar, Minho Sung, Jun Xu, Ellen W. Zegur...