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» A Data Stream Mining System
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VLDB
2003
ACM
172views Database» more  VLDB 2003»
16 years 5 months ago
Aurora: a new model and architecture for data stream management
This paper describes the basic processing model and architecture of Aurora, a new system to manage data streams for monitoring applications. Monitoring applications differ substant...
Daniel J. Abadi, Donald Carney, Ugur Çetintemel, ...
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 9 months 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...
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
16 years 5 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray
KDD
2008
ACM
146views Data Mining» more  KDD 2008»
16 years 5 months ago
Constraint programming for itemset mining
The relationship between constraint-based mining and constraint programming is explored by showing how the typical constraints used in pattern mining can be formulated for use in ...
Luc De Raedt, Tias Guns, Siegfried Nijssen
VLDB
2004
ACM
108views Database» more  VLDB 2004»
15 years 10 months ago
QStream: Deterministic Querying of Data Streams
Current developments in processing data streams are based on the best-effort principle and therefore not adequate for many application areas. When sensor data is gathered by inte...
Sven Schmidt, Henrike Berthold, Wolfgang Lehner