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» Novelty Detection from Evolving Complex Data Streams with Ti...
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SAC
2009
ACM
15 years 4 months ago
Adaptive burst detection in a stream engine
Detecting bursts in data streams is an important and challenging task. Due to the complexity of this task, usually burst detection cannot be formulated using standard query operat...
Marcel Karnstedt, Daniel Klan, Christian Pöli...
ICDE
2009
IEEE
135views Database» more  ICDE 2009»
15 years 11 months ago
Forward Decay: A Practical Time Decay Model for Streaming Systems
Temporal data analysis in data warehouses and data streaming systems often uses time decay to reduce the importance of older tuples, without eliminating their influence, on the res...
Graham Cormode, Vladislav Shkapenyuk, Divesh Sriva...
CMMR
2004
Springer
180views Music» more  CMMR 2004»
15 years 2 months ago
Score-PCM Music Synchronization Based on Extracted Score Parameters
Abstract. In this paper we present algorithms for the automatic timesynchronization of score-, MIDI- or PCM-data streams which represent the same polyphonic piano piece. In contras...
Vlora Arifi, Michael Clausen, Frank Kurth, Meinard...
KDD
2008
ACM
239views Data Mining» more  KDD 2008»
15 years 10 months ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
ISCC
2008
IEEE
122views Communications» more  ISCC 2008»
15 years 3 months ago
A flexible network monitoring tool based on a data stream management system
Network monitoring is a complex task that generally requires the use of different tools for specific purposes. This paper describes a flexible network monitoring tool, called Pa...
Natascha Petry Ligocki, Carmem S. Hara, Christiano...