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» Anomaly Detection in Streaming Sensor Data
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ICDCSW
2007
IEEE
14 years 2 months ago
Automated Ensemble Extraction and Analysis of Acoustic Data Streams
This paper addresses the design and use of distributed pipelines for automated processing of sensor data streams. In particular, we focus on the detection and extraction of meanin...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
VLDB
2005
ACM
87views Database» more  VLDB 2005»
14 years 2 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....
ICDE
2006
IEEE
134views Database» more  ICDE 2006»
14 years 2 months ago
Processing High-Volume Stream Queries on a Supercomputer
Scientific instruments, such as radio telescopes, colliders, sensor networks, and simulators generate very high volumes of data streams that scientists analyze to detect and under...
Erik Zeitler, Tore Risch
IPPS
2005
IEEE
14 years 2 months ago
A Parallel Algorithm for Correlating Event Streams
This paper describes a parallel algorithm for correlating or “fusing” streams of data from sensors and other sources of information. The algorithm is useful for applications w...
Daniel M. Zimmerman, K. Mani Chandy
HICSS
2006
IEEE
127views Biometrics» more  HICSS 2006»
14 years 2 months ago
Processing of Data Streams with Prediction Functions
Networks of sensors arise naturally in many different fields, from industrial applications (e.g., monitoring of environmental parameters in a chemical plant) to surveillance appl...
Sergio Ilarri, Ouri Wolfson, Eduardo Mena, Arantza...