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» Evaluating algorithms that learn from data streams
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DMSN
2004
ACM
15 years 9 months ago
Predictive filtering: a learning-based approach to data stream filtering
Recent years have witnessed an increasing interest in filtering of distributed data streams, such as those produced by networked sensors. The focus is to conserve bandwidth and se...
Vibhore Kumar, Brian F. Cooper, Shamkant B. Navath...
SIGMOD
2002
ACM
198views Database» more  SIGMOD 2002»
16 years 4 months ago
Processing complex aggregate queries over data streams
Recent years have witnessed an increasing interest in designing algorithms for querying and analyzing streaming data (i.e., data that is seen only once in a fixed order) with only...
Alin Dobra, Minos N. Garofalakis, Johannes Gehrke,...
OTM
2010
Springer
15 years 1 months ago
Towards Evaluating GRASIM for Ontology-Based Data Matching
The GRASIM (Graph-Aided Similarity calculation) algorithm is designed to solve the problem of ontology-based data matching. We subdivide the matching problem into the ones of restr...
Yan Tang
MMM
2007
Springer
127views Multimedia» more  MMM 2007»
15 years 10 months ago
Optimizing the Throughput of Data-Driven Based Streaming in Heterogeneous Overlay Network
Recently, much attention has been paid on data-driven (or swarm-like) based live streaming systems due to its rapid growth in deployment over Internet. In such systems, nodes rando...
Meng Zhang, Chunxiao Chen, Yongqiang Xiong, Qian Z...
SC
2005
ACM
15 years 9 months ago
ClawHMMER: A Streaming HMMer-Search Implementation
The proliferation of biological sequence data has motivated the need for an extremely fast probabilistic sequence search. One method for performing this search involves evaluating...
Daniel Reiter Horn, Mike Houston, Pat Hanrahan