Parallel and incremental credit card fraud detection model to handle concept drift and data imbalance
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DOI: 10.1007/s00521-018-3633-8
Abstract: Real-time fraud detection in credit card transactions is challenging due to the intrinsic properties of transaction data, namely data imbalance, noise, borderline entities and concept drift. The advent of mobile payment systems has further complicated… read more here.
Keywords: fraud detection; model; credit card; data imbalance ... See more keywords
ProEGAN-MS: A Progressive Growing Generative Adversarial Networks for Electrocardiogram Generation
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DOI: 10.1109/access.2021.3069827
Abstract: Electrocardiogram (ECG) is a physiological signal widely used in monitoring heart health, which is of great significance to the detection and diagnosis of heart diseases. Because abnormal heart rhythms are very rare, most ECG datasets… read more here.
Keywords: progressive growing; generation; data imbalance; model ... See more keywords
How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting
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DOI: 10.1109/access.2022.3160797
Abstract: Stock market forecasting is a time series problem that aims to predict possible future prices or directions of an index/stock. The stock data contains high uncertainty and is influenced by too many factors; hence it… read more here.
Keywords: data imbalance; cnn based; stock; feature selection ... See more keywords
Few-Shot GAN: Improving the Performance of Intelligent Fault Diagnosis in Severe Data Imbalance
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3271746
Abstract: In severe data imbalance scenarios, fault samples are generally scarce, challenging the health management of industrial machinery significantly. Generative adversarial network (GAN), a promising solution to solve the data imbalance problem, suffers from a negative… read more here.
Keywords: severe data; fault diagnosis; data imbalance; imbalance ... See more keywords