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  1. Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS '10)
  2. Framing the question: detecting and filling spatial-temporal windows
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Microsoft framework for geospatial stream processing
Geostreaming at IBM: infosphere streams and intelligent traffic systems
The Oracle platform for real time streaming event driven architecture based solutions
Spatiotemporal summarization of traffic data streams
A data stream-based evaluation framework for traffic information systems
Framing the question: detecting and filling spatial-temporal windows
Modeling and prediction of moving region trajectories
AIMS: an SQL-based system for airspace monitoring
OpenSense: open community driven sensing of environment
Querying streaming point clusters as regions
A programming framework for integrating web-based spatiotemporal sensor data with MapReduce capabilities
Exploratory novelty identification in human activity data streams

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Framing the question: detecting and filling spatial-temporal windows

Content Provider ACM Digital Library
Author Whiteneck, James Bhat, Amit Maier, David Fernández-Moctezuma, Rafael J. Tufte, Kristin
Abstract We propose a new mechanism, which we term frames, for data-dependent windows. In contrast to traditional timestamp-based windows, frames represent just the boundary of a window and can be filled with data from secondary streams or historical data. Examples show how frames can be useful in network and sensor monitoring applications. We present frame definition and implementation in one dimension, discuss extension to multidimensional frames, and identify issues for further investigation.
Starting Page 19
Ending Page 22
Page Count 4
File Format PDF
ISBN 9781450304313
DOI 10.1145/1878500.1878506
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-11-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Data-stream management Spatial-temporal windows
Content Type Text
Resource Type Article
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