Towards a real-time unsupervised estimation of predictive model degradation-Reference-Cited by-同舟云学术

Towards a real-time unsupervised estimation of predictive model degradation

Published:2019-08-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of Real-Time Business Intelligence and Analytics
language:
Short-container-title:

Author:

Cerquitelli Tania¹,Proto Stefano¹,Ventura Francesco¹,Apiletti Daniele¹,Baralis Elena¹

Affiliation:

1. Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3350489.3350494

Reference23 articles.

1. SeLINA: A Self-Learning Insightful Network Analyzer

2. Daniele Apiletti Claudia Barberis Tania Cerquitelli Alberto Macii Enrico Macii Massimo Poncino and Francesco Ventura. 2018. iSTEP an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0. In IEEE International Conference on Parallel & Distributed Processing with Applications Ubiquitous Computing & Communications Big Data & Cloud Computing Social Computing & Networking Sustainable Computing & Communications ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018 Melbourne Australia December 11-13 2018. 924--931. Daniele Apiletti Claudia Barberis Tania Cerquitelli Alberto Macii Enrico Macii Massimo Poncino and Francesco Ventura. 2018. iSTEP an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0. In IEEE International Conference on Parallel & Distributed Processing with Applications Ubiquitous Computing & Communications Big Data & Cloud Computing Social Computing & Networking Sustainable Computing & Communications ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018 Melbourne Australia December 11-13 2018. 924--931.

3. Learning from Time-Changing Data with Adaptive Windowing

4. Tania Cerquitelli Stefano Proto Francesco Ventura Daniele Apiletti and Elena Baralis. 2019. Automating concept-drift detection by self-evaluating predictive model degradation. arXiv:cs.LG/1907.08120 Tania Cerquitelli Stefano Proto Francesco Ventura Daniele Apiletti and Elena Baralis. 2019. Automating concept-drift detection by self-evaluating predictive model degradation. arXiv:cs.LG/1907.08120

5. Self-tuning techniques for large scale cluster analysis on textual data collections

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