Concept drift primarily refers to an online supervised learning scenario when the relation
between the input data and the target variable changes over time. Assuming a general …

Abstract The technology of Smart Homes (SH), as an instance of ambient assisted living
technologies, is designed to assist the homes' residents accomplishing their daily-living …

Anomaly detection is critical for web-based software systems. Anecdotal evidence suggests
that in these systems, the accuracy of a static anomaly detection method that was previously …

Dementia refers to a group of chronic conditions that cause the permanent and gradual
cognitive decline. Therefore, a Person with Dementia (PwD) requires constant care from …

Modern business processes are embedded in a complex environment and, thus, subjected
to continuous changes. While current approaches focus on the control flow only, additional …

Evolving environments challenge researchers with non stationary data flows where the
concepts–or states–being tracked can change over time. This requires tracking algorithms …

This paper suggests new evolving Takagi–Sugeno–Kang (TSK) fuzzy models dedicated to
crane systems. A set of evolving TSK fuzzy models with different numbers of inputs are …

Human activity recognition (HAR) is highly relevant to many real-world domains like safety,
security, and in particular healthcare. The current machine learning technology of HAR is …

The present paper proposes the application of decision trees to model activities of daily
living in a multi-resident context. An extension of ID5R, called E-ID5R, is proposed. It …

The problem of class noisy instances is omnipresent in different classification problems.
However, most of research focuses on noise handling in binary classification problems and …