Journal articles on the topic 'Concept-Drift Management'
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Cano, Andrés, Manuel Gómez-Olmedo, and Serafín Moral. "A Bayesian approach to abrupt concept drift." Knowledge-Based Systems 185 (December 2019): 104909. http://dx.doi.org/10.1016/j.knosys.2019.104909.
Full textBayram, Firas, Bestoun S. Ahmed, and Andreas Kassler. "From concept drift to model degradation: An overview on performance-aware drift detectors." Knowledge-Based Systems 245 (June 2022): 108632. http://dx.doi.org/10.1016/j.knosys.2022.108632.
Full textElkhawaga, Ghada, Mervat Abuelkheir, Sherif I. Barakat, Alaa M. Riad, and Manfred Reichert. "CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining." Algorithms 13, no. 7 (July 3, 2020): 161. http://dx.doi.org/10.3390/a13070161.
Full textZheng, Xiulin, Peipei Li, Xuegang Hu, and Kui Yu. "Semi-supervised classification on data streams with recurring concept drift and concept evolution." Knowledge-Based Systems 215 (March 2021): 106749. http://dx.doi.org/10.1016/j.knosys.2021.106749.
Full textMwitondi, Kassim S., and Raed A. Said. "Dealing with Randomness and Concept Drift in Large Datasets." Data 6, no. 7 (July 19, 2021): 77. http://dx.doi.org/10.3390/data6070077.
Full textCabral, Danilo Rafael de Lima, and Roberto Souto Maior de Barros. "Concept drift detection based on Fisher’s Exact test." Information Sciences 442-443 (May 2018): 220–34. http://dx.doi.org/10.1016/j.ins.2018.02.054.
Full textBarros, Roberto Souto Maior, and Silas Garrido T. Carvalho Santos. "A large-scale comparison of concept drift detectors." Information Sciences 451-452 (July 2018): 348–70. http://dx.doi.org/10.1016/j.ins.2018.04.014.
Full textDelany, Sarah Jane, Pádraig Cunningham, Alexey Tsymbal, and Lorcan Coyle. "A case-based technique for tracking concept drift in spam filtering." Knowledge-Based Systems 18, no. 4-5 (August 2005): 187–95. http://dx.doi.org/10.1016/j.knosys.2004.10.002.
Full textLi, Yanhong, Deyu Li, Suge Wang, and Yanhui Zhai. "Incremental entropy-based clustering on categorical data streams with concept drift." Knowledge-Based Systems 59 (March 2014): 33–47. http://dx.doi.org/10.1016/j.knosys.2014.02.004.
Full textThaipisutikul, Tipajin. "An Adaptive Temporal-Concept Drift Model for Sequential Recommendation." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 16, no. 2 (June 11, 2022): 222–36. http://dx.doi.org/10.37936/ecti-cit.2022162.248019.
Full textThaipisutikul, Tipajin. "An Adaptive Temporal-Concept Drift Model for Sequential Recommendation." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 16, no. 2 (June 7, 2022): 221–35. http://dx.doi.org/10.37936/ecticit.2022162.248019.
Full textJohansen, Øistein. "DOOSIM—A NEW SIMULATION MODEL FOR OIL SPILL MANAGEMENT." International Oil Spill Conference Proceedings 1987, no. 1 (April 1, 1987): 529–32. http://dx.doi.org/10.7901/2169-3358-1987-1-529.
Full textToquica, David, Kodjo Agbossou, Roland Malhamé, Nilson Henao, Sousso Kelouwani, and Alben Cardenas. "Adaptive Machine Learning for Automated Modeling of Residential Prosumer Agents." Energies 13, no. 9 (May 4, 2020): 2250. http://dx.doi.org/10.3390/en13092250.
Full textFeitosa Neto, Antonino, and Anne M. P. Canuto. "EOCD: An ensemble optimization approach for concept drift applications." Information Sciences 561 (June 2021): 81–100. http://dx.doi.org/10.1016/j.ins.2021.01.051.
Full textGuo, Husheng, Hai Li, Qiaoyan Ren, and Wenjian Wang. "Concept drift type identification based on multi-sliding windows." Information Sciences 585 (March 2022): 1–23. http://dx.doi.org/10.1016/j.ins.2021.11.023.
Full textNagendhiran, Nalini, and Lakshmanan Kuppusamy. "Adaptive Drift Detection Mechanism for Non-Stationary Data Stream." Journal of Information & Knowledge Management 20, no. 01 (March 2021): 2150008. http://dx.doi.org/10.1142/s0219649221500088.
Full textLi, Shengzeng, Yiwen Zhong, and Jiaxiang Lin. "AWS-DAIE: Incremental Ensemble Short-Term Electricity Load Forecasting Based on Sample Domain Adaptation." Sustainability 14, no. 21 (October 31, 2022): 14205. http://dx.doi.org/10.3390/su142114205.
Full textLiu, Weike, Hang Zhang, Zhaoyun Ding, Qingbao Liu, and Cheng Zhu. "A comprehensive active learning method for multiclass imbalanced data streams with concept drift." Knowledge-Based Systems 215 (March 2021): 106778. http://dx.doi.org/10.1016/j.knosys.2021.106778.
Full textLi, Zeng, Wenchao Huang, Yan Xiong, Siqi Ren, and Tuanfei Zhu. "Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm." Knowledge-Based Systems 195 (May 2020): 105694. http://dx.doi.org/10.1016/j.knosys.2020.105694.
Full textTan, Chang How, Vincent C. S. Lee, and Mahsa Salehi. "Information resources estimation for accurate distribution-based concept drift detection." Information Processing & Management 59, no. 3 (May 2022): 102911. http://dx.doi.org/10.1016/j.ipm.2022.102911.
Full textRen, Siqi, Bo Liao, Wen Zhu, and Keqin Li. "Knowledge-maximized ensemble algorithm for different types of concept drift." Information Sciences 430-431 (March 2018): 261–81. http://dx.doi.org/10.1016/j.ins.2017.11.046.
Full textBonnemaire, Basile. "Arctic Offshore Loading Downtime Due to Variability in Ice Drift Direction." Journal of Navigation 59, no. 1 (December 15, 2005): 9–26. http://dx.doi.org/10.1017/s0373463305003474.
Full textId, Ibnu Daqiqil, Masanobu Abe, and Sunao Hara. "Acoustic Scene Classifier Based on Gaussian Mixture Model in the Concept Drift Situation." Advances in Science, Technology and Engineering Systems Journal 6, no. 5 (September 2021): 167–76. http://dx.doi.org/10.25046/aj060519.
Full textSantos, Silas G. T. C., Roberto S. M. Barros, and Paulo M. Gonçalves. "A differential evolution based method for tuning concept drift detectors in data streams." Information Sciences 485 (June 2019): 376–93. http://dx.doi.org/10.1016/j.ins.2019.02.031.
Full textHammoodi, Mahmood Shakir, Frederic Stahl, and Atta Badii. "Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining." Knowledge-Based Systems 161 (December 2018): 205–39. http://dx.doi.org/10.1016/j.knosys.2018.08.007.
Full textSun, Jie, Hamido Fujita, Peng Chen, and Hui Li. "Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble." Knowledge-Based Systems 120 (March 2017): 4–14. http://dx.doi.org/10.1016/j.knosys.2016.12.019.
Full textBing-quan, Li, and Liang Chun-xi. "Mortality Anxiety Management of Chinese Undergraduates in the Horizon of Cultural Psychology." Journal of Asian Research 4, no. 3 (August 25, 2020): p50. http://dx.doi.org/10.22158/jar.v4n3p50.
Full textElzinga, Aant. "The science-society contract in historical transformation: with special reference to “epistemic drift”." Social Science Information 36, no. 3 (September 1997): 411–45. http://dx.doi.org/10.1177/053901897036003002.
Full textKahraman, Abdulgani, Mehmed Kantardzic, Muhammet Mustafa Kahraman, and Muhammed Kotan. "A Data-Driven Multi-Regime Approach for Predicting Energy Consumption." Energies 14, no. 20 (October 17, 2021): 6763. http://dx.doi.org/10.3390/en14206763.
Full textda Motta, Lucas Marchi, Elírio Ernestino Toldo, Luiz Emílio de Sá, Brito de Almeida, and José Carlos Nunes. "Sandy sediment budget of the midcoast of Rio Grande do Sul, Brazil." Journal of Marine Research 73, no. 3 (May 1, 2015): 49–69. http://dx.doi.org/10.1357/002224015815848839.
Full textTota, Antonio, Enrico Galvagno, Luca Dimauro, Alessandro Vigliani, and Mauro Velardocchia. "Energy Management Strategy for Hybrid Multimode Powertrains: Influence of Inertial Properties and Road Inclination." Applied Sciences 11, no. 24 (December 10, 2021): 11752. http://dx.doi.org/10.3390/app112411752.
Full textOjugo, Arnold Adimabua, and Andrew Okonji Eboka. "Inventory prediction and management in Nigeria using market basket analysis associative rule mining: memetic algorithm based approach." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 3 (November 13, 2019): 128. http://dx.doi.org/10.11591/ijict.v8i3.pp128-138.
Full textNiu, Huifang, Jianchao Zeng, Hui Shi, Bin Wang, and Tianye Liu. "A Nonlinear Prognostic Model Based on the Wiener Process with Three Sources of Uncertainty." Shock and Vibration 2021 (December 29, 2021): 1–12. http://dx.doi.org/10.1155/2021/6475056.
Full textVenkatesiah, Sowmya Samudrala, Dominic Augustine, Deepika Mishra, Neethi Gujjar, Vanishri C. Haragannavar, Kamran Habib Awan, and Shankargouda Patil. "Immunology of Oral Squamous Cell Carcinoma—A Comprehensive Insight with Recent Concepts." Life 12, no. 11 (November 7, 2022): 1807. http://dx.doi.org/10.3390/life12111807.
Full textIkken, Naima, Nour-Eddine Tariba, Abdelhadi Bouknadel, Ahmed Haddou, Hafsa El Omari, and Hamid El Omari. "Analysis of active islanding detection techniques for grid-connected inverters systems." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 3 (March 1, 2022): 1287. http://dx.doi.org/10.11591/ijeecs.v25.i3.pp1287-1296.
Full textWood, Michael, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins, and Sonia Leva. "Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies." Forecasting 5, no. 1 (March 2, 2023): 297–314. http://dx.doi.org/10.3390/forecast5010016.
Full textBagutdinov, R. A. "APPROACH OF PROCESSING, CLASSIFICATION AND DETECTION OF NEW CLASSES AND ANOMALIES IN HETEROGENIOUS AND DIFFERENT STREAMS OF DATA." Herald of Dagestan State Technical University. Technical Sciences 45, no. 3 (May 12, 2019): 85–93. http://dx.doi.org/10.21822/2073-6185-2018-45-3-85-93.
Full textSCHATZMANN, JOST, KARL WEILHAMMER, MATT STUTTLE, and STEVE YOUNG. "A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies." Knowledge Engineering Review 21, no. 2 (June 2006): 97–126. http://dx.doi.org/10.1017/s0269888906000944.
Full textUriarte-Arcia, Abril Valeria, Itzamá López-Yáñez, Cornelio Yáñez-Márquez, João Gama, and Oscar Camacho-Nieto. "Data Stream Classification Based on the Gamma Classifier." Mathematical Problems in Engineering 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/939175.
Full textBellazzi, Riccardo. "Big Data and Biomedical Informatics: A Challenging Opportunity." Yearbook of Medical Informatics 23, no. 01 (August 2014): 08–13. http://dx.doi.org/10.15265/iy-2014-0024.
Full textBagge-Petersen, Claudia M., Henriette Langstrup, Jakob E. Larsen, and Anne Frølich. "Critical user-configurations in mHealth design: How mHealth-app design practices come to bias design against chronically ill children and young people as mHealth users." DIGITAL HEALTH 8 (January 2022): 205520762211095. http://dx.doi.org/10.1177/20552076221109531.
Full textFloury, Paul, Jérôme Gaillardet, Eric Gayer, Julien Bouchez, Gaëlle Tallec, Patrick Ansart, Frédéric Koch, Caroline Gorge, Arnaud Blanchouin, and Jean-Louis Roubaty. "The potamochemical symphony: new progress in the high-frequency acquisition of stream chemical data." Hydrology and Earth System Sciences 21, no. 12 (December 7, 2017): 6153–65. http://dx.doi.org/10.5194/hess-21-6153-2017.
Full textKronberg, Magnus, Jan Gugala, and Keijo Haapala. "State-of-the-art and proof-of-concept installations for repository concepts based in crystalline rock." Mineralogical Magazine 79, no. 6 (November 2015): 1665–73. http://dx.doi.org/10.1180/minmag.2015.079.6.43.
Full textHarahsheh, H. A. "OIL SPILL DETECTION AND MONITORING OF ABU DHABI COASTAL ZONE USING KOMPSAT-5 SAR IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1115–21. http://dx.doi.org/10.5194/isprs-archives-xli-b8-1115-2016.
Full textHarahsheh, H. A. "OIL SPILL DETECTION AND MONITORING OF ABU DHABI COASTAL ZONE USING KOMPSAT-5 SAR IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1115–21. http://dx.doi.org/10.5194/isprsarchives-xli-b8-1115-2016.
Full textScott, J. S., and R. A. Gibb. "Results of geoscience research in the Canadian Nuclear Fuel Waste Management Program: Introduction." Canadian Journal of Earth Sciences 26, no. 2 (February 1, 1989): 341–44. http://dx.doi.org/10.1139/e89-032.
Full textSchrader, Mark J., Anura P. Rathnayake, and Lav R. Khot. "Horticultural Oil Thermotherapy Delivery System for Perennial Specialty Crops: A-Proof-of-Concept and Preliminary Results." Applied Engineering in Agriculture 38, no. 2 (2022): 461–68. http://dx.doi.org/10.13031/aea.14786.
Full textRiess, Mike. "Automating model management: a survey on metaheuristics for concept-drift adaptation." Journal of Data, Information and Management, August 22, 2022. http://dx.doi.org/10.1007/s42488-022-00075-5.
Full textRiso, Luigi, and Marco Guerzoni. "Concept Drift Estimation with Graphical Models." Information Sciences, May 2022. http://dx.doi.org/10.1016/j.ins.2022.05.056.
Full textTian, Xing, Wing W. Y. Ng, and Huihui Xu. "Deep Incremental Hashing for Semantic Image Retrieval with Concept Drift." IEEE Transactions on Big Data, 2023, 1–13. http://dx.doi.org/10.1109/tbdata.2022.3233457.
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