Optimizing complex event forecasting-Reference-Cited by-同舟云学术

Optimizing complex event forecasting

Published:2022-06-27 Issue: Volume: Page:
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Container-title:Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems
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Author:

Stavropoulos Vasileios¹,Alevizos Elias¹,Giatrakos Nikos²,Artikis Alexander³

Affiliation:

1. NCSR Demokritos, Greece

2. Technical University of Crete, Greece and Athena Research Center, Greece

3. NCSR Demokritos, Greece and University of Piraeus, Greece

Funder

EU Horizon 2020

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524860.3539810

Reference59 articles.

1. Jagrati Agrawal Yanlei Diao Daniel Gyllstrom and Neil Immerman. 2008. Efficient Pattern Matching over Event Streams. In SIGMOD. Jagrati Agrawal Yanlei Diao Daniel Gyllstrom and Neil Immerman. 2008. Efficient Pattern Matching over Event Streams. In SIGMOD.

2. Rakesh Agrawal , Tomasz Imielinski , and Arun N . Swami . 1993 . Mining Association Rules between Sets of Items in Large Databases. In SIGMOD. Rakesh Agrawal, Tomasz Imielinski, and Arun N. Swami. 1993. Mining Association Rules between Sets of Items in Large Databases. In SIGMOD.

3. Elias Alevizos Alexander Artikis and George Paliouras. 2017. Event Forecasting with Pattern Markov Chains. In DEBS. Elias Alevizos Alexander Artikis and George Paliouras. 2017. Event Forecasting with Pattern Markov Chains. In DEBS.

4. Elias Alevizos Alexander Artikis and George Paliouras. 2018. Wayeb: a Tool for Complex Event Forecasting. In LPAR. Elias Alevizos Alexander Artikis and George Paliouras. 2018. Wayeb: a Tool for Complex Event Forecasting. In LPAR.

5. Complex event forecasting with prediction suffix trees

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