Abstract Knowledge discovery for data streaming requires online feature selection to reduce
the complexity of real-world datasets and significantly improve the learning process. This is …

The World Health Organization promotes healthy living through regular physical activities,
such as exercise and sports, as well as access to healthcare and rehabilitation services for …

Since the present era is entirely computer and Internet of Things (IoT) oriented, enormous
amounts of data are produced quickly from many sources. Machine learning's primary …

For individuals and firms, traditional sources of competitive advantage are being eroded.
Competitive advantage today is not built upon product markets, but in upstream markets of …

Organisations that have survived Covid-19 jolts, uncertainties and lockdowns now require
business intelligence and information system integration for decision support. Risks and …

Algorithms are pervasive, unseen influencers of decisions. Algorithmic features can fluctuate
widely, depending on use, user or criteria applied. This paper considers the nascent field of …

In the era of data-driven decision-making, managing dynamic data streams characterised by
evolving data distributions and high dimensionality presents a formidable challenge for …

The pandemic created by Coronavirus (SARS-CoV-2) sent shockwaves worldwide, first for
humanity and then for the economy. By mid-April, 2020, it was possible to pause and reflect …

Asset management requires a more sophisticated approach for sustainable data-driven
decision-making. Organisations operate in dynamic, interconnected and uncertain …

The aim of this paper, Analytics for Managers, is to provide the skills needed to evaluate
critically data for decisionmaking within applied management. Learners obtain, relate …