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» Loadstar: Load Shedding in Data Stream Mining
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EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 7 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
APWEB
2006
Springer
13 years 11 months ago
DSEC: A Data Stream Engine Based Clinical Information System
This demo paper describes a clinical information system: Data Stream Engine based Clinical information system (DSEC). In DSEC, data stream technology as well as traditional compute...
Yu Fan, Hongyan Li, Zijing Hu, Jianlong Gao, Haibi...
ICDE
2006
IEEE
285views Database» more  ICDE 2006»
14 years 9 months ago
An Approach to Adaptive Memory Management in Data Stream Systems
Adaptivity is a challenging open issue in data stream management. In this paper, we tackle the problem of memory adaptivity inside a system executing temporal sliding window queri...
Bernhard Seeger, Jürgen Krämer, Michael ...
ICDE
2007
IEEE
155views Database» more  ICDE 2007»
14 years 1 months ago
Query-Aware Sampling for Data Streams
Data Stream Management Systems are useful when large volumes of data need to be processed in real time. Examples include monitoring network traffic, monitoring financial transacti...
Theodore Johnson, S. Muthukrishnan, Vladislav Shka...
TKDE
2008
169views more  TKDE 2008»
13 years 7 months ago
A Cost-Based Approach to Adaptive Resource Management in Data Stream Systems
Data stream management systems need to control their resources adaptively since stream characteristics and query workload may vary over time. In this paper we investigate an approa...
Michael Cammert, Jürgen Krämer, Bernhard...