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JCP
2006
111views more  JCP 2006»
15 years 3 months ago
Mining Developing Trends of Dynamic Spatiotemporal Data Streams
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
Yu Meng, Margaret H. Dunham
PR
2007
81views more  PR 2007»
15 years 2 months ago
Mining evolving data streams for frequent patterns
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
MCS
2005
Springer
15 years 8 months ago
Ensembles of Classifiers from Spatially Disjoint Data
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
SIGMOD
2003
ACM
209views Database» more  SIGMOD 2003»
16 years 3 months ago
Distributed Top-K Monitoring
The querying and analysis of data streams has been a topic of much recent interest, motivated by applications from the fields of networking, web usage analysis, sensor instrumenta...
Brian Babcock, Chris Olston
ICIP
2006
IEEE
16 years 5 months ago
Multi Source Streaming for Robust Video Transmission in Mobile Ad-Hoc Networks
Video transmission over networks is getting increasingly important, thus upcoming network types like Mobile Ad-Hoc Networks (MANETs) can also become a suitable platform for exchan...
Cornelius Hellge, Karsten Gänger, Thomas Schi...