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95
Voted
PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
15 years 6 months ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo
101
Voted
DSD
2010
IEEE
110views Hardware» more  DSD 2010»
15 years 26 days ago
A Predictable Multiprocessor Design Flow for Streaming Applications with Dynamic Behaviour
—The design of new embedded systems is getting more and more complex as more functionality is integrated into these systems. To deal with the design complexity, a predictable des...
Sander Stuijk, Marc Geilen, Twan Basten
CGF
2010
105views more  CGF 2010»
15 years 23 days ago
Streaming-Enabled Parallel Dataflow Architecture for Multicore Systems
We propose a new framework design for exploiting multi-core architectures in the context of visualization dataflow systems. Recent hardware advancements have greatly increased the...
Huy T. Vo, Daniel K. Osmari, Brian Summa, Jo&atild...
84
Voted
PE
2006
Springer
79views Optimization» more  PE 2006»
15 years 18 days ago
Parallel downloads for streaming applications - a resequencing analysis
Several recent studies have proposed methods to accelerate the receipt of a file by downloading its parts from different servers in parallel. The schemes suggested in most propose...
Yoav Nebat, Moshe Sidi
IDA
2002
Springer
15 years 13 days ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last