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» Evaluating algorithms that learn from data streams
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VLDB
2007
ACM
124views Database» more  VLDB 2007»
15 years 4 months ago
Ad-hoc Top-k Query Answering for Data Streams
A top-k query retrieves the k highest scoring tuples from a data set with respect to a scoring function defined on the attributes of a tuple. The efficient evaluation of top-k q...
Gautam Das, Dimitrios Gunopulos, Nick Koudas, Niko...
97
Voted
PODS
2002
ACM
164views Database» more  PODS 2002»
15 years 10 months ago
Characterizing Memory Requirements for Queries over Continuous Data Streams
We consider conjunctive queries with arithmetic comparisons over multiple continuous data streams. We specify an algorithm for determining whether or not a query can be evaluated ...
Arvind Arasu, Brian Babcock, Shivnath Babu, Jon Mc...
CLIMA
2004
14 years 11 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis
FGCN
2007
IEEE
109views Communications» more  FGCN 2007»
15 years 4 months ago
Flow Balancing Hardware for Parallel TCP Streams on Long Fat Pipe Network
Parallel TCP streams are used for data transfer between clusters in today's high performance applications. When parallel TCP streams are used on LFN, part of streams fail to ...
Yutaka Sugawara, Mary Inaba, Kei Hiraki
GRID
2008
Springer
14 years 11 months ago
An integrated resource management and scheduling system for grid data streaming applications
Grid data streaming applications are novel from others in that they require real-time data supply while the processing is going on, which necessitates harmonious collaborations am...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...