ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes-Reference-Cited by-同舟云学术

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ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes

Published:2024-08-24 Issue: Volume: Page:1933-1943
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Liu Shizhe¹^ORCID,Dai Haipeng¹^ORCID,Song Shaoxu²^ORCID,Li Meng¹^ORCID,Dai Jingsong¹^ORCID,Gu Rong¹^ORCID,Chen Guihai¹^ORCID

Affiliation:

1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

2. BNRist, Tsinghua University, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671814

Reference55 articles.

1. [n. d.]. Eoddata. https://www.eoddata.com.

2. ACER. 2024. https://github.com/Josehokec/ACER4CER.

3. Jagrati Agrawal, Yanlei Diao, Daniel Gyllstrom, and Neil Immerman. 2008. Efficient Pattern Matching Over Event Streams. In International Conference on Management of Data. 147--160.

4. INEv: In-Network Evaluation for Event Stream Processing

5. Samira Akili and Matthias Weidlich. 2021. MuSE Graphs for Flexible Distribution of Event Stream Processing in Networks. In International Conference on Management of Data. 10--22.

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