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Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization.

, , , and . Int. J. Data Sci. Anal., 5 (4): 285-300 (2018)

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Combining unsupervised and supervised learning in credit card fraud detection., , , , , and . Inf. Sci., (2021)Adaptive model selection for time series prediction in wireless sensor networks., , and . Signal Process., 87 (12): 3010-3020 (2007)Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production., , , , , , , and . CoRR, (2021)MOBI-AID: A Big Data Platform for Real-Time Analysis of On Board Unit Data., , , , and . EDBT/ICDT Workshops, volume 2578 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Use Scenarios & Practical Examples of AI Use in Education., , , , , , , , , and . CoRR, (2023)Decentralised reinforcement learning for energy-efficient scheduling in wireless sensor networks., , , and . Int. J. Commun. Networks Distributed Syst., 9 (3/4): 207-224 (2012)Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization., , , and . Int. J. Data Sci. Anal., 5 (4): 285-300 (2018)The role of diversity and ensemble learning in credit card fraud detection., , , , , , and . Adv. Data Anal. Classif., 18 (1): 193-217 (March 2024)Distributed cooperation in wireless sensor networks., , , and . AAMAS, page 249-256. IFAAMAS, (2011)Predictive Modeling in a Big Data Distributed Setting: A Scalable Bias Correction Approach., and . BigData Congress, page 68-74. IEEE Computer Society, (2016)