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» Warping the time on data streams
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195
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ICDE
2008
IEEE
119views Database» more  ICDE 2008»
16 years 2 months ago
Toward Simulation-Based Optimization in Data Stream Management Systems
Abstract-- Our demonstration introduces a novel system architecture which massively facilitates optimization in data stream management systems (DSMS). The basic idea is to decouple...
Bernhard Seeger, Christoph Heinz, Jürgen Kr&a...
SAC
2009
ACM
15 years 7 months ago
Parameterless outlier detection in data streams
Outlyingness is a subjective concept relying on the isolation level of a (set of) record(s). Clustering-based outlier detection is a field that aims to cluster data and to detect...
Alice Marascu, Florent Masseglia
VLDB
2005
ACM
87views Database» more  VLDB 2005»
15 years 6 months ago
NILE-PDT: A Phenomenon Detection and Tracking Framework for Data Stream Management Systems
In this demo, we present Nile-PDT, a Phenomenon Detection and Tracking framework using the Nile data stream management system. A phenomenon is characterized by a group of streams ...
Mohamed H. Ali, Walid G. Aref, Raja Bose, Ahmed K....
137
Voted
EDBTW
2006
Springer
15 years 4 months ago
Dynamic Plan Migration for Snapshot-Equivalent Continuous Queries in Data Stream Systems
A data stream management system executes a large number of continuous queries in parallel. As stream characteristics and query workload change over time, the plan initially install...
Jürgen Krämer, Yin Yang, Michael Cammert...
95
Voted
VLDB
2010
ACM
144views Database» more  VLDB 2010»
14 years 11 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou