Parallel implementations of incremental clustering have been provided to increase
performances of data stream processing in smart factories, to enable real-time anomaly …

Context. There are many e-Health mobile apps on the apps store, from apps to improve a
user's lifestyle to mental coaching. Whilst these apps might consider user context when they …

A wealth of e-Health mobile apps are available for many purposes, such as life style
improvement, mental coaching, etc. The interventions, prompts, and encouragements of e …

This study investigates the impact of outliers on the evolution of clusters in temporal data-
sets. Monitoring and tracing cluster transitions of temporal data sets allow us to observe how …

Within software engineering, social sustainability is the dimension of sustainability that
focuses on the “support of current and future generations to have the same or greater access …

The huge amount of data produced by the Internet of Things need to be validated and
curated to be prepared for the selection of relevant data in order to prototype models, train …

Data streams are continuous flows of data objects generated at high rates, requiring real-
time processing in a single pass. Clustering algorithms play a vital role in analyzing data …

Sorting radar signals in the modern electromagnetic battlefield is challenging due to
complex signal distributions, sparse sample availability, and the absence of effective outlier …

With the current digitisation of our world, we have witnessed a surge in the presence and
use of mobile devices. Consequently, there has been a natural increase in the use of mobile …

Subspace clustering for online data streams requires a large amount of memory resources
as all subsets of data dimensions must be examined. In order to track the continuous change …