Feature Selection (FS) is a crucial step in high-dimensional and big data analytics. It
mitigates thecurse of dimensionality'by removing redundant and irrelevant features. Most FS …

Feature selection (FS) is a fundamental big data task, improving classification performance
by selecting a relevant feature subset to mitigate thecurse of dimensionality'. As the number …

Feature selection is an important pre-processing, data mining, and knowledge discovery tool
for data analysis. By eliminating redundant and irrelevant features from high-dimensional …

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 …

Sustainability is a dynamic concept in the corporate world. The intensifying public demand
for responsibility and transparency in business is initiating new collaboration, integral to …

The need for collective intelligence in technology means that online Q&A platforms, such as
Stack Overflow and Reddit, have become invaluable in building the global knowledge …

We have yet to realise the full capability of social media as an innovative information
platform during emergencies and crisis response and management. Sentiment analysis can …

Our world is dynamic and digital. It is irrefutable; big data are reshaping commerce,
healthcare and governmental decisions. Individuals forgo awareness or even desire to …