The raw material is China’s biggest single import after computer chips and crude oil, with $133 billion spent last year on supplies from Australia, Brazil, and a handful of other countries. Beijing in ...
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Predictive analytics in business strategy
The integration of big data into business analytics has transformed how organisations gather and interpret large volumes of data. Big data includes a broad spectrum of structured and unstructured data ...
Sight Holdings has reported a remarkable 264% increase in profitability, driven by its Business Environment Cluster focusing ...
Mining and metals advocacy group the ICMM has launched its ‘Global Mining Dataset’, to address the lack of reliable, standardised data for the mining and metals sector. The ICMM says the new dataset ...
Abstract: Data stream mining is a research area that has grown enormously in recent years. The main challenge is extracting knowledge in real-time from a possibly unbounded data stream. Clustering, a ...
ABSTRACT: Doping is an issue associated with elite sports as athletes attempt to enhance their performance to gain an edge over other athletes. However, the prevalence of doping is continuously ...
Abstract: Multi-view Graph Clustering (MGC) is a crucial approach for uncovering complex data structures by leveraging multiple perspectives of data. However, existing MGC methods face two key ...
Norway’s Labour Party government has revealed plans to impose a temporary ban on any new crypto mining data centres that use energy‑heavy proof‑of‑work systems, per Reuters. The proposed rule could ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Conventional reservoir flow field characterization methods are ...
ABSTRACT: Breast cancer remains one of the most prevalent diseases that affect women worldwide. Making an early and accurate diagnosis is essential for effective treatment. Machine learning (ML) ...
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