Anomaly Detection of Manufacturing Equipment via High Performance RDF Data Stream Processing-Reference-Cited by-同舟云学术

Anomaly Detection of Manufacturing Equipment via High Performance RDF Data Stream Processing

Published:2017-06-08 Issue: Volume: Page:
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Container-title:Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems
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Author:

Akram Nihla¹,Siriwardene Sachini¹,Jayasinghe Malith¹,Dayarathna Miyuru¹,Perera Isuru¹,Fernando Seshika¹,Perera Srinath¹,Bandara Upul¹,Suhothayan Sriskandarajah¹

Affiliation:

1. WSO2, Inc., Mountain View, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3093742.3095100

Reference9 articles.

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2. The DEBS 2017 Grand Challenge

3. Hobbit. 2016. Holistic Benchmarking of Big Linked Data. URL: https://project-hobbit.eu/. (2016). Hobbit. 2016. Holistic Benchmarking of Big Linked Data. URL: https://project-hobbit.eu/. (2016).

4. LMAX-Exchange Inc. 2015. Disruptor. URL: https://lmax-exchange.github.io/disrupter/. (May 2015). LMAX-Exchange Inc. 2015. Disruptor. URL: https://lmax-exchange.github.io/disrupter/. (May 2015).

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