复杂事件识别语言:教程

Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems Pub Date : 2017-06-08 DOI:10.1145/3093742.3095106

A. Artikis, Alessandro Margara, M. Ugarte, Stijn Vansummeren, M. Weidlich

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引用次数: 42

摘要

复杂事件识别(Complex event recognition, CER)是指对大数据流中的事件进行检测。本文综述了目前最重要的CER模型和算法，并讨论了它们之间的主要概念联系和区别。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Complex Event Recognition Languages: Tutorial

Complex event recognition (CER) refers to the detection of events in Big Data streams. The paper presents a summary of the most prominent models and algorithms for CER, and discusses the main conceptual links and the differences between them.

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Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems

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