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| Showing results 1-26 of 26 |
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2024
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| 1. | Lee, Ming-Chang; Lin, Jia-Chun. Evaluation of k-means time series clustering based on z-normalization and NP-Free. SciTePress 2024 (ISBN 978-989-758-626-2) 9 p. NTNU HVL |
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2023
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| 2. | Lee, Ming-Chang; Lin, Jia-Chun. Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. I: Proceedings of the 18th International Conference on Software Technologies. SciTePress 2023 ISBN 978-989-758-665-1. p. 106-116 NTNU HVL |
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| 3. | Lee, Ming-Chang; Lin, Jia-Chun. RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series. I: Proceedings of the 8th International Conference on Internet of Things, Big Data and Security. SciTePress 2023 ISBN 978-989-758-643-9. NTNU HVL |
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| 4. | Lee, Ming-Chang; Lin, Jia-Chun. RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. I: Proceedings of the 18th International Conference on Software Technologies. SciTePress 2023 ISBN 978-989-758-665-1. p. 313-322 NTNU HVL |
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| 5. | Lee, Ming-Chang; Lin, Jia-Chun; Stolz, Volker. NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series. I: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings 2023 ISBN 979-8-3503-2697-0. p. 334-339 NTNU HVL |
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| 6. | Toor, Aafan Ahmad; Lin, Jia-Chun; Gran, Ernst Gunnar; Lee, Ming-Chang. An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT. Frontiers of Information Technology (FIT); 2023-12-11 - 2023-12-12 NTNU HVL |
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2021
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| 7. | Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks. Transportation Research Record 2021 ;Volume 2675.(10) p. 211-227 NTNU |
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| 8. | Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?. I: Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 1. Springer 2021 ISBN 978-3-030-75099-2. p. 136-148 NTNU |
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| 9. | Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series. I: Proceedings of 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings 2021 ISBN 9781665424639. p. 344-349 NTNU |
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2020
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| 10. | Lee, Ming-Chang. Euro-Par 2020: Euro-Par 2020: Parallel Processing. Springer 2020 (ISBN 978-3-030-57675-2) ;Volume 12247.Lecture Notes in Computer Science (LNCS)(0) NTNU |
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| 11. | Lee, Ming-Chang. Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020). Springer 2020 (ISBN 978-3-030-44041-1) ;Volume 1151.Advances in Intelligent Systems and Computing(0) NTNU |
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| 12. | Lee, Ming-Chang; Lin, Jia-Chun. DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. The 34th International Conference on Advanced Information Networking and Applications (AINA 2020); 2020-04-15 - 2020-04-17 NTNU |
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| 13. | Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing. The 26th International European Conference on Parallel and Distributed Computing (EURO-PAR 2020); 2020-08-24 - 2020-08-28 NTNU |
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| 14. | Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. RePAD: Real-Time Proactive Anomaly Detection for Time Series. I: Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020). Springer 2020 ISBN 978-3-030-44041-1. p. 1291-1302 NTNU |
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| 15. | Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing. I: Euro-Par 2020: Euro-Par 2020: Parallel Processing. Springer 2020 ISBN 978-3-030-57675-2. p. 234-247 NTNU |
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| 16. | Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series. I: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings 2020 ISBN 978-1-7281-7303-0. p. 322-327 NTNU |
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| 17. | Lee, Ming-Chang; Lin, Jia-Chun. DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. I: Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020). Springer 2020 ISBN 978-3-030-44041-1. p. 164-175 NTNU |
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| 18. | Lin, Jia-Chun; Lee, Ming-Chang; Yu, Ingrid Chieh; Johnsen, Einar Broch. A Configurable and Executable Model of Spark Streaming on Apache YARN. International Journal of Grid and Utility Computing (IJGUC) 2020 ;Volume 11.(2) p. 185-195 UiO NTNU |
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2019
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| 19. | Lee, Ming-Chang; Lin, Jia-Chun; Owe, Olaf. PDS: Deduce elder privacy from smart homes. Internet of Things: Engineering Cyber Physical Human Systems 2019 ;Volume 7. p. - UiO NTNU |
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2018
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| 20. | Lee, Ming-Chang; Lin, Jia-Chun; Owe, Olaf. EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. Advanced Information Networking and Applications 2018 ;Volume 2018-May. p. 996-1002 UiO |
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| 21. | Lee, Ming-Chang; Lin, Jia-Chun; Owe, Olaf. Privacy Mining from IoT-based Smart Homes (Online version). Lecture Notes on Data Engineering and Communications Technologies 2018 p. 304-315 UiO |
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| 22. | Lin, Jia-Chun; Lee, Ming-Chang; Yu, Ingrid Chieh; Johnsen, Einar Broch. Modeling and simulation of spark streaming. Advanced Information Networking and Applications 2018 ;Volume 2018-May. p. 407-413 UiO |
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2016
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| 23. | Lee, Ming-Chang; Lin, Jia-Chun; Yahyapour, Ramin. Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters. IEEE Transactions on Parallel and Distributed Systems 2016 ;Volume 27.(6) p. 1687-1699 UiO |
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| 24. | Lin, Jia-Chun; Lee, Ming-Chang. Performance evaluation of job schedulers on Hadoop YARN. Concurrency and Computation 2016 ;Volume 28.(9) p. 2711-2728 UiO |
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| 25. | Lin, Jia-Chun; Yu, Ingrid Chieh; Johnsen, Einar Broch; Lee, Ming-Chang. ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. 19th International Conference on Fundamental Approaches to Software Engineering; 2016-04-02 - 2016-04-08 UiO |
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| 26. | Lin, Jia-Chun; Yu, Ingrid Chieh; Johnsen, Einar Broch; Lee, Ming-Chang. ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. I: Fundamental Approaches to Software Engineering: 19th International Conference, FASE 2016, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2016, Eindhoven, The Netherlands, April 2-8, 2016, Proceedings. Springer 2016 ISBN 3662496658. p. 49-65 UiO |
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