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» Online summarization of dynamic time series data
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SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
16 years 2 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
ICSM
2006
IEEE
15 years 8 months ago
Exploiting the Analogy Between Traces and Signal Processing
The main challenge of dynamic analysis is the huge volume of data, making it difficult to extract high level views. Most techniques developed so far adopt a finegrained approach ...
Adrian Kuhn, Orla Greevy
RTSS
2006
IEEE
15 years 8 months ago
Prediction-Based QoS Management for Real-Time Data Streams
With the emergence of large wired and wireless sensor networks, many real-time applications need to operate on continuous unbounded data streams. At the same time, many of these s...
Yuan Wei, Vibha Prasad, Sang Hyuk Son, John A. Sta...
INFOVIS
1998
IEEE
15 years 6 months ago
Geographic Visualization: Designing Manipulable Maps for Exploring Temporally Varying Georeferenced Statistics
Geographic Visualization, sometimes called cartographic visualization, is a form of information visualization in which principles from cartography, geographic information systems ...
Alan M. MacEachren, Francis P. Boscoe, Daniel Haug...
ESANN
2003
15 years 3 months ago
Autonomous learning algorithm for fully connected recurrent networks
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre