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» Sampling Algorithms in a Stream Operator
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DKE
2008
109views more  DKE 2008»
13 years 7 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
ENTCS
2006
137views more  ENTCS 2006»
13 years 7 months ago
Coinductive Field of Exact Real Numbers and General Corecursion
In this article we present a method to define algebraic structure (field operations) on a representation of real numbers by coinductive streams. The field operations will be given...
Milad Niqui
ICTAI
2009
IEEE
13 years 5 months ago
A Confidence-Based Dominance Operator in Evolutionary Algorithms for Noisy Multiobjective Optimization Problems
This paper describes a noise-aware dominance operator for evolutionary algorithms to solve the multiobjective optimization problems (MOPs) that contain noise in their objective fu...
Pruet Boonma, Junichi Suzuki
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
14 years 7 months ago
Online Maintenance of Very Large Random Samples
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
Chris Jermaine, Abhijit Pol, Subramanian Arumugam
DEBS
2003
ACM
14 years 29 days ago
MJoin: a metadata-aware stream join operator
Join algorithms must be re-designed when processing stream data instead of persistently stored data. Data streams are potentially infinite and the query result is expected to be ...
Luping Ding, Elke A. Rundensteiner, George T. Hein...