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Defining the execution semantics of stream processing engines

Overview of attention for article published in Journal of Big Data, April 2017
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Citations

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Title
Defining the execution semantics of stream processing engines
Published in
Journal of Big Data, April 2017
DOI 10.1186/s40537-017-0072-9
Authors

Lorenzo Affetti, Riccardo Tommasini, Alessandro Margara, Gianpaolo Cugola, Emanuele Della Valle

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Student > Master 12 23%
Researcher 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 2 4%
Other 9 17%
Unknown 8 15%
Readers by discipline Count As %
Computer Science 30 58%
Business, Management and Accounting 4 8%
Engineering 3 6%
Unspecified 2 4%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 10 19%