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» Data streams: algorithms and applications
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OWLED
2007
15 years 7 months ago
Use of OWL for Describing Stream Processing Components to Enable Automatic Composition
Stream Processing Applications analyze large volumes of streaming data in real-time. These applications, consist of data sources, which produce raw streams, and processing elements...
Zhen Liu, Anand Ranganathan, Anton Riabov
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
14 years 1 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
VLDB
2004
ACM
134views Database» more  VLDB 2004»
15 years 11 months ago
Memory-Limited Execution of Windowed Stream Joins
We address the problem of computing approximate answers to continuous sliding-window joins over data streams when the available memory may be insufficient to keep the entire join...
Utkarsh Srivastava, Jennifer Widom
VLDB
2006
ACM
203views Database» more  VLDB 2006»
16 years 6 months ago
The CQL continuous query language: semantic foundations and query execution
CQL, a Continuous Query Language, is supported by the STREAM prototype Data Stream Management System at Stanford. CQL is an expressive SQL-based declarative language for registeri...
Arvind Arasu, Shivnath Babu, Jennifer Widom
ICMCS
2009
IEEE
140views Multimedia» more  ICMCS 2009»
15 years 4 months ago
Resource-adaptive multimedia analysis on stream mining systems
Large-scale multimedia semantic concept detection requires realtime identification of a set of concepts in streaming video or large image datasets. The potentially high data volum...
Deepak S. Turaga, Rong Yan, Olivier Verscheure, Br...