The development and application of emerging technologies of Industry 4.0 enable the
realization of digital twins (DT), which facilitates the transformation of the manufacturing …

Spam emails have been traditionally seen as just annoying and unsolicited emails
containing advertisements, but they increasingly include scams, malware or phishing. In …

Real-world data streams pose a unique challenge to the implementation of machine
learning (ML) models and data analysis. A notable problem that has been introduced by the …

Internet e-mail service emerged in the late seventies to implement fast message exchanging
through computer networks. Network users immediately discovered the value of this service …

Last decade demonstrate the massive growth in organizational data which keeps on
increasing multi‐fold as millions of records get updated every second. Handling such vast …

Data stream management (DSM) for cyber-physical systems (CPSs) provides good quality
care services in the medical domain. This is a very prominent field of research that includes …

The challenge of deploying neural network (NN) learning workloads on ultralow power tiny
devices has recently attracted several machine learning researchers of the Tiny machine …

Inthis article, wefocus on the classification problem to semi-supervised learning in non-
stationary environment. Semi-supervised learning is a learning task from both labeled and …

A predictive analytics system and method in the setting of multi-class classification are
disclosed, for identifying systematic changes in an evaluation dataset processed by a fraud …

In evolving data stream, when its concept undergoes a change it is known as concept drift.
Detecting concept drift and handling it is a challenging task in data stream mining. If an …