D2IA: Stream Analytics on User-Defined Event Intervals

D2IA: Stream Analytics on User-Defined Event Intervals

Nowadays, modern Big Stream Processing Solutions (e.g. Spark, Flink) are working towards ultimate frameworks for streaming analytics. In order to achieve this goal, they started to offer extensions of SQL that incorporate stream-oriented primitives such as windowing and Complex Event Processing (CEP...

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Bibliographic Details
Main Author:	Awad, Ahmed (author)
Other Authors:	Tommasini, Riccardo (author), Kamel, Mahmoud (author), Della Valle, Emanuele (author), Sakr, Sherif (author)
Published:	2019
Subjects:	Big Stream Processing · Complex event processing · User-defined event intervals
Online Access:	https://bspace.buid.ac.ae/handle/1234/2921 https://dl.acm.org/doi/abs/10.1007/978-3-030-21290-2_22 https://doi.org/10.1016/j.is.2020.101679
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