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» A Unified Framework for Monitoring Data Streams in Real Time
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 2 days ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
IJSNET
2010
122views more  IJSNET 2010»
13 years 6 months ago
Ensuring high sensor data quality through use of online outlier detection techniques
: Data collected by Wireless Sensor Networks (WSNs) are inherently unreliable. Therefore, to ensure high data quality, secure monitoring, and reliable detection of interesting and ...
Yang Zhang, Nirvana Meratnia, Paul J. M. Havinga
JPDC
2008
129views more  JPDC 2008»
13 years 7 months ago
A framework for scalable greedy coloring on distributed-memory parallel computers
We present a scalable framework for parallelizing greedy graph coloring algorithms on distributed-memory computers. The framework unifies several existing algorithms and blends a ...
Doruk Bozdag, Assefaw Hadish Gebremedhin, Fredrik ...
ICDE
2009
IEEE
216views Database» more  ICDE 2009»
13 years 5 months ago
Continuous Subgraph Pattern Search over Graph Streams
Search over graph databases has attracted much attention recently due to its usefulness in many fields, such as the analysis of chemical compounds, intrusion detection in network t...
Changliang Wang, Lei Chen 0002
ICMCS
1995
IEEE
156views Multimedia» more  ICMCS 1995»
13 years 11 months ago
Spatio-Temporal Modeling of Video Data for On-Line Object-Oriented Query Processing
This paper presents a framework for data modeling ntic abstraction of image/video data. The framework is based on spatio-temporalinformation associated with salient objects in an ...
Young Francis Day, Serhan Dagtas, Mitsutoshi Iino,...