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Keyword

data stream classification

Description: Machine-learning methods that assign labels to continuously arriving data, including approaches that adapt to changing patterns or previously unseen classes.
OpenAlex ID: keywords/data-stream-classification
Mining high-speed data streams
2000 · Pedro Domingos, Geoff Hulten · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 2,217
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Adaptive random forests for evolving data stream classification
2017 · Heitor M. Gomes, Albert Bifet, et al. · Machine Learning · 813
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A Survey on Ensemble Learning for Data Stream Classification
2017 · Heitor Murilo Gomes, Jean Paul Barddal, et al. · ACM Computing Surveys · 579
Exponentially weighted moving average charts for detecting concept drift
2011 · Gordon J. Ross, Niall M. Adams, et al. · Pattern Recognition Letters · 405
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Leveraging Bagging for Evolving Data Streams
2010 · Albert Bifet, Geoff Holmes, et al. · Lecture notes in computer science · 405
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Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints
2010 · Mohammad Masud, Jing Gao, et al. · IEEE Transactions on Knowledge and Data Engineering · 401
Incremental Linear Discriminant Analysis for Classification of Data Streams
2005 · S. Pang, S. Ozawa, et al. · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 344
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A survey on data stream clustering and classification
2014 · Hai-Long Nguyen, Yew-Kwong Woon, et al. · Knowledge and Information Systems · 321
On demand classification of data streams
2004 · Charu C. Aggarwal, Jiawei Han, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 260
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
2016 · Viktor Losing, Barbara Hammer, et al. · Proceedings · 250
MOA: Massive Online Analysis, a framework for stream classification and clustering.
2010 · Albert Bifet, Geoffrey Holmes, et al. · RWTH Publications (RWTH Aachen) · 246
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Tracking recurring contexts using ensemble classifiers: an application to email filtering
2009 · Ioannis Katakis, Grigorios Tsoumakas, et al. · Knowledge and Information Systems · 213
Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test
2016 · Denis Moreira dos Reis, Peter Flach, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 186
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Machine Learning for Data Streams: With Practical Examples in Moa
2018 · Albert Bifet, Ricard Gavaldà, et al. · Project Muse (Johns Hopkins University) · 175
SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream
2016 · Ahsanul Haque, Latifur Khan, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 175
Efficient Online Evaluation of Big Data Stream Classifiers
2015 · Albert Bifet, Gianmarco de Francisci Morales, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 171
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A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework
2023 · Gabriel Aguiar, Bartosz Krawczyk, et al. · Machine Learning · 167
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An adaptive ensemble classifier for mining concept drifting data streams
2013 · Dewan Md. Farid, Li Zhang, et al. · Expert Systems with Applications · 165
A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data
2008 · Mohammad M. Masud, Jing Gao, et al. · Proceedings · 151
An overview of unsupervised drift detection methods
2020 · Rosana Noronha Gemaque, Albert França Josuá Costa, et al. · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 143
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Addressing Concept-Evolution in Concept-Drifting Data Streams
2010 · Mohammad M. Masud, Qing Chen, et al. · Proceedings · 136
Dynamic extreme learning machine for data stream classification
2017 · Shuliang Xu, Junhong Wang · Neurocomputing · 130
Learning in Non-Stationary Environments
2012 · Raab, Christoph · Springer eBooks · 128
Evaluation methods and decision theory for classification of streaming data with temporal dependence
2014 · Indrė Žliobaitė, Albert Bifet, et al. · Machine Learning · 127
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Efficient handling of concept drift and concept evolution over Stream Data
2016 · Ahsanul Haque, Latifur Khan, et al. · Proceedings - International Conference on Data Engineering · 126
Works count: 1,282
Citation count: 19,990
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