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» Data Stream Management Systems for Computational Finance
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ICDE
2007
IEEE
155views Database» more  ICDE 2007»
15 years 10 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...
CLUSTER
2009
IEEE
15 years 11 months ago
Granules: A lightweight, streaming runtime for cloud computing with support, for Map-Reduce
— Cloud computing has gained significant traction in recent years. The Map-Reduce framework is currently the most dominant programming model in cloud computing settings. In this ...
Shrideep Pallickara, Jaliya Ekanayake, Geoffrey Fo...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 4 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
IPPS
2005
IEEE
15 years 9 months ago
Distributed Data Streams Indexing using Content-Based Routing Paradigm
In recent years, we have seen a dramatic increase in the use of data-centric distributed systems such as global grid infrastructures, sensor networks, network monitoring, and vari...
Ahmet Bulut, Ambuj K. Singh, Roman Vitenberg
WWW
2009
ACM
16 years 4 months ago
C-SPARQL: SPARQL for continuous querying
C-SPARQL is an extension of SPARQL to support continuous queries over RDF data streams. Supporting streams in RDF format guarantees interoperability and opens up important applica...
Davide Francesco Barbieri, Daniele Braga, Stefano ...