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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 3 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...
ADMA
2006
Springer
101views Data Mining» more  ADMA 2006»
15 years 5 months ago
ZED: Explaining Temporal Variations in Query Volume
We hypothesize that the variance in volume of high-velocity queries over time can be explained by observing that these queries are formulated in response to events in the world tha...
Maojin Jiang, Shlomo Argamon, Abdur Chowdhury, Kus...
ICDE
2007
IEEE
183views Database» more  ICDE 2007»
16 years 19 days ago
SpADe: On Shape-based Pattern Detection in Streaming Time Series
Monitoring predefined patterns in streaming time series is useful to applications such as trend-related analysis, sensor networks and video surveillance. Most current studies on s...
Yueguo Chen, Mario A. Nascimento, Beng Chin Ooi, A...
EDBT
2009
ACM
137views Database» more  EDBT 2009»
14 years 9 months ago
Flexible and scalable storage management for data-intensive stream processing
Data Stream Management Systems (DSMS) operate under strict performance requirements. Key to meeting such requirements is to efficiently handle time-critical tasks such as managing...
Irina Botan, Gustavo Alonso, Peter M. Fischer, Don...
SSDBM
2006
IEEE
139views Database» more  SSDBM 2006»
15 years 5 months 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...