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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
13 years 11 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
174views Database» more  SIGMOD 2004»
14 years 6 months ago
PIPES - A Public Infrastructure for Processing and Exploring Streams
PIPES is a flexible and extensible infrastructure providing fundamental building blocks to implement a data stream management system (DSMS). It is seamlessly integrated into the J...
Bernhard Seeger, Jürgen Krämer
USENIX
2007
13 years 8 months ago
Load Shedding in Network Monitoring Applications
Monitoring and mining real-time network data streams is crucial for managing and operating data networks. The information that network operators desire to extract from the network...
Pere Barlet-Ros, Gianluca Iannaccone, Josep Sanju&...
ICDE
2007
IEEE
123views Database» more  ICDE 2007»
14 years 7 months ago
Stream Monitoring under the Time Warping Distance
The goal of this paper is to monitor numerical streams, and to find subsequences that are similar to a given query sequence, under the DTW (Dynamic Time Warping) distance. Applica...
Yasushi Sakurai, Christos Faloutsos, Masashi Yamam...
SSDBM
2006
IEEE
139views Database» more  SSDBM 2006»
14 years 8 days ago
Sampling Trajectory Streams with Spatiotemporal Criteria
Monitoring movement of high-dimensional points is essential for environmental databases, geospatial applications, and biodiversity informatics as it reveals crucial information ab...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...