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Enabling deep analytics in stream processing systems

Abstract:

Real-time applications often analyze data coming from sensor networks using relational and domain-specific operations such as signal processing and machine learning algorithms. To support such increasingly important scenarios, many data management systems integrate with numerical frameworks like R. Such solutions, however, incur significant performance penalties as relational engines and numerical tools operate on fundamentally different data models with expensive inter-communication mechanis...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1007/978-3-319-60795-5_9

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Chandramouli, B More by this author
Goldstein, J More by this author
Publisher:
Springer Verlag (Germany) Publisher's website
Series:
Lecture Notes in Computer Science
Publication date:
2017-06-14
Acceptance date:
2017-04-21
DOI:
ISSN:
0302-9743 and 1611-3349
Pubs id:
pubs:712439
URN:
uri:b520f6ef-c2eb-4b39-a70c-76aece518a2e
UUID:
uuid:b520f6ef-c2eb-4b39-a70c-76aece518a2e
Local pid:
pubs:712439
ISBN:
9783319607948

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