Urban flooding has made it necessary to gain a better understanding of how well gully pots
perform when overwhelmed by solids deposition due to various climatic and anthropogenic …

Feature selection is a technique that is commonly used to prepare particular significant
features or produce understandable data for improving the task of classification. Bio-inspired …

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 …

With the arrival of the information age, the amount of usable high-dimensional data is rapidly
increasing; however, the vast amount of unrefined data may deteriorate the performance of …

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 …

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 …

Feature selection is an important aspect to extract information from raw collection of data.
The data from social media or any other dynamic data is voluminous in size and has high …