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Comparing Concept Drift Detection with Process Mining Software
Omori, Nicolas Jashchenko, Tavares, Gabriel Marques, Ceravolo, Paolo, Barbon Jr, Sylvio
Published in iSys - Brazilian Journal of Information Systems (31.07.2020)
Published in iSys - Brazilian Journal of Information Systems (31.07.2020)
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A Drift Detection Method Based on Active Learning
Costa, Albert Franca Josua, Albuquerque, Regis Antonio Saraiva, Santos, Eulanda Miranda dos
Published in 2018 International Joint Conference on Neural Networks (IJCNN) (01.07.2018)
Published in 2018 International Joint Conference on Neural Networks (IJCNN) (01.07.2018)
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Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support
de Sousa, Rafael Gaspar, Meira Neto, Antonio Carlos, Fantinato, Marcelo, Peres, Sarajane Marques, Reijers, Hajo Alexander
Published in Data & knowledge engineering (01.01.2024)
Published in Data & knowledge engineering (01.01.2024)
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Incremental hybrid intrusion detection for 6LoWPAN
Pasikhan, Aryan Mohammadi, Clark, John A., Gope, Prosanta
Published in Computers & security (01.12.2023)
Published in Computers & security (01.12.2023)
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AEDS-IoT: Adaptive clustering-based Event Detection Scheme for IoT data streams
Raut, Ashwin, Shivhare, Anubhav, Chaurasiya, Vijay Kumar, Kumar, Manish
Published in Internet of things (Amsterdam. Online) (01.07.2023)
Published in Internet of things (Amsterdam. Online) (01.07.2023)
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An Intelligent Edge Dual-Structure Ensemble Method for Data Stream Detection and Releasing
Zhang, Jiangjiang, Gong, Bei, Wang, Qian, Wu, Yong, Zheng, Guiping
Published in IEEE internet of things journal (01.01.2024)
Published in IEEE internet of things journal (01.01.2024)
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Online Adaptive Local Interpretable Tree Ensembles for Time Series Forecasting
Saadallah, Amal
Published in IEEE ... International Conference on Data Mining workshops (09.12.2024)
Published in IEEE ... International Conference on Data Mining workshops (09.12.2024)
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