There are several supervised learning Data Mining (DM) methods, such as Neural Networks (NN), Support Vector Machines (SVM) and ensembles, that often attain high quality predictions, although the ...

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Protecting the privacy of healthcare information is an important part of encouraging data custodians to give accurate records so that mining may proceed with confidence. The application of association ...

Norway plans to impose a temporary ban on new crypto mining data centers that use energy-heavy proof-of-work systems. The proposed rule, aimed at preserving electricity for more productive ...

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for ...

The profile mode of ultra-high-performance liquid chromatography–high-resolution mass spectrometry (UHPLC-HRMS) is commonly utilized in metabolomics for its ability to comprehensively retain compound ...

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Publication date 2013 Topics Data mining, Big data, Information science, Business -- Data processing, Data Mining, Information Science, Commerce, Electronic Data Processing, Sciences de l'information, ...

New economic data has reignited Trump's fight with the Fed over cutting interest rates By Dan DeFrancesco Bonnie Cash/Getty Images Jun 12, 2025, 5:10 AM PT ...

Data center development is the largest demand growth vector promising to strain our energy infrastructure. These facilities are being constructed at an unprecedented scale and pace, with ...

The EIA said natural gas' share of power generation would slide from 42% in 2024 to 40% in 2025 and 2026. Coal's share will hold at 16% in 2025, the same as 2024, before easing to 15% in 2026, as ...