Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints

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Co-Transport for Class-Incremental Learning (2021, background): “For example, in online opinion monitoring, new topics often emerge as news happens [28], and in the electronic commerce platform, new types of products appear daily [27, 49].”
A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions (2016, background): “This problem is often referred to as concept drift in the incremental learning literature [114].”
Characterizing concept drift (2015, background): “Novel class appearance is a special case of concept drift in which a new class comes into existence [Masud et al., 2011].”
CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining (2021, background): “This setting, also known as continual/incremental learning [32, 41], has attracted remarkable attention, featured by the the challenges of Concept Evolution [25, 30, 58] and Catastrophic Forgetting [20, 26, 50, 53].”
A systematic review of machine learning techniques for software fault prediction (2015, background): “Hence, total number of 122 studies [1, 2, 20-139] were identified for further processing and analysis.”