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» Info-fuzzy algorithms for mining dynamic data streams
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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 4 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
HIS
2008
15 years 5 months ago
A GRASP Algorithm Using RNN for Solving Dynamics in a P2P Live Video Streaming Network
In this paper, we present an algorithm based on the GRASP metaheuristic for solving a dynamic assignment problem in a P2P network designed for sending real-time video over the Int...
Marcelo Martínez, Alexis Morón, Fran...
IDA
2008
Springer
15 years 4 months ago
Mining frequent items in a stream using flexible windows
We study the problem of finding frequent items in a continuous stream of itemsets. A new frequency measure is introduced, based on a flexible window length. For a given item, its ...
Toon Calders, Nele Dexters, Bart Goethals
ICDE
2011
IEEE
235views Database» more  ICDE 2011»
14 years 8 months ago
Fast data analytics with FPGAs
—The rapidly increasing amount of data available for real-time analysis (i.e., so-called operational business intelligence) is creating an interesting opportunity for creative ap...
Louis Woods, Gustavo Alonso
DKE
2007
95views more  DKE 2007»
15 years 4 months ago
Warping the time on data streams
Continuously monitoring through time the correlation/distance of multiple data streams is of interest in a variety of applications, including financial analysis, video surveillanc...
Paolo Capitani, Paolo Ciaccia