Adaptive Model Rules From High-Speed Data Streams
Author:
Affiliation:
1. LIAAD-INESC TEC, Porto, Portugal
2. LIAAD-INESC TEC, Faculty of Economics, University of Porto, Porto, Portugal
3. Huawei Noahs Ark Lab, Shatin, Hong Kong
Abstract
Funder
Fundação para a Ciência e Tecnologia
European Comission
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science
Link
https://dl.acm.org/doi/pdf/10.1145/2829955
Reference33 articles.
1. Adaptive Model Rules from Data Streams
2. Random rules from data streams
3. K. Bache and M. Lichman. 2013. UCI Machine Learning Repository. Retrieved from http://archive.ics.uci.edu/ml. K. Bache and M. Lichman. 2013. UCI Machine Learning Repository. Retrieved from http://archive.ics.uci.edu/ml.
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