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Keyword

streaming machine learning

Description: Machine-learning methods that process continuous data streams and update predictions or models as new observations arrive.
OpenAlex ID: keywords/streaming-machine-learning
StormDroid
2016 · Sen Chen, Minhui Xue, et al. · ACM Asia Conference on Computer and Communications Security (ASIA CCS) · 161
Recent Advancements in Event Processing
2018 · Miyuru Dayarathna, Srinath Perera · ACM Computing Surveys · 101
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning
2020 · Roula Nassif, Stefan Vlaski, et al. · IEEE Signal Processing Magazine · 97
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A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams
2022 · Heitor Murilo Gomes, Maciej Grzenda, et al. · ACM Computing Surveys · 76
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C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams
2020 · Alessio Bernardo, Heitor Murilo Gomes, et al. · IEEE International Conference on Big Data (BigData) · 55
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Dynamic Data Scaling Techniques for Streaming Machine Learning
2024 · Dr.Priyanka Kaushik · International Journal for Global Academic & Scientific Research · 49
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Online Anomaly Detection Leveraging Stream-Based Clustering and Real-Time Telemetry
2020 · Andrian Putina, Dario Rossi · IEEE Transactions on Network and Service Management · 34
Streaming Machine Learning and Online Active Learning for Automated Visual Inspection.
2022 · Jože M. Rožanec, Elena Trajkova, et al. · IFAC-PapersOnLine · 29
Big Data Real Time Ingestion and Machine Learning
2018 · Gautam Pal, Gangmin Li, et al. · IEEE International Conference on Data Stream Mining & Processing (DSMP) · 26
An extensive study of C-SMOTE, a Continuous Synthetic Minority Oversampling Technique for Evolving Data Streams
2022 · Alessio Bernardo, Emanuele Della Valle · Expert Systems with Applications · 24
Unsupervised Drift Detector Ensembles for Data Stream Mining
2019 · Lukasz Korycki, Bartosz Krawczyk · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · 21
Preventing Discriminatory Decision-making in Evolving Data Streams
2023 · Zichong Wang, Nripsuta Saxena, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 20
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Real-Time Healthcare Monitoring System using Online Machine Learning and Spark Streaming
2020 · Fawzya Hassan, Masoud E., et al. · International Journal of Advanced Computer Science and Applications · 20
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Detecting Financial Fraud in Real-Time Transactions Using Graph Neural Networks and Anomaly Detection Techniques
2025 · Rafi Muhammad Zakaria, Mohammad Mahmudur Rahman, et al. · Journal of Economics Finance and Accounting Studies · 19
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Towards flexible data stream collaboration: Federated Learning in Kafka-ML
2024 · Antonio Jesús Chaves, Cristian Martín, et al. · Internet of Things · 16
Distributed Decision Tree Learning for Mining Big Data Streams
2013 · Arinto Murdopo, Albert Bifet, et al. · 16
A Streaming Machine Learning Framework for Online Aggression Detection on Twitter
2020 · Herodotos Herodotou, Despoina Chatzakou, et al. · IEEE International Conference on Big Data (BigData) · 15
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Review on novelty detection in the non-stationary environment
2023 · Supriya Agrahari, Sakshi Srivastava, et al. · Knowledge and Information Systems · 12
Towards time-evolving analytics: Online learning for time-dependent evolving data streams
2022 · Giacomo Ziffer, Alessio Bernardo, et al. · Data Science · 12
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Streaming Machine Learning Algorithms with Big Data Systems
2019 · Vibhatha Abeykoon, Supun Kamburugamuve, et al. · IEEE International Conference on Big Data (BigData) · 11
Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark
2016 · Zubair Nabi · CERN Document Server (European Organization for Nuclear Research) · 10
Deepstreamensemble: streaming adaptation to concept drift in deep neural networks
2025 · Lorraine Chambers, Mohamed-Medhat Gaber, et al. · International Journal of Machine Learning and Cybernetics · 9
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Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments
2024 · Federico Giannini, Giacomo Ziffer, et al. · IEEE Intelligent Systems · 9
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Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data
2018 · Andrian Putina, Steven Barth, et al. · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · 9
Pro Spark Streaming
2016 · Zubair Nabi · Apress eBooks · 9
Works count: 112
Citation count: 960
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