Reuben Borrison, Benjamin Klöpper, Moncef Chioua, Marcel Dix and Barbara Sprick
Paper (2018)
Document published while its authors were not affiliated with Polytechnique Montréal
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| ISBN: | 9783030034924 |
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| PolyPublie URL: | https://publications.polymtl.ca/46317/ |
| Conference Title: | 19th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2018) |
| Conference Location: | Madrid, Spain |
| Conference Date(s): | 2018-11-21 - 2018-11-23 |
| Publisher: | Springer |
| DOI: | 10.1007/978-3-030-03493-1_64 |
| Official URL: | https://doi.org/10.1007/978-3-030-03493-1_64 |
| Date Deposited: | 18 Apr 2023 15:02 |
| Last Modified: | 08 Apr 2025 12:22 |
| Cite in APA 7: | Borrison, R., Klöpper, B., Chioua, M., Dix, M., & Sprick, B. (2018, November). Reusable Big Data System for Industrial Data Mining - A Case Study on Anomaly Detection in Chemical Plants [Paper]. 19th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2018), Madrid, Spain. https://doi.org/10.1007/978-3-030-03493-1_64 |
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