A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

Abstract: Evolutionary algorithms (EAs) have been used in high utility itemset mining (HUIM) to address the problem of discovering high utility itemsets (HUIs) in the exponential search space. EAs ...

Booming demand for copper is driving a spate of mining megadeals, in a rush to secure more of a metal essential to powering artificial intelligence.

Abstract: Many of Taobaos important daily data mining tasks, such as anomaly attack detection and interest group detection, require efficient algorithmic solutions for mining specific graph patterns.

The U.S. government is mulling investment into critical minerals mining projects run by mining company Amaroq, its CEO has told CNBC. Talks are ongoing and haven't been finalized, but deals could ...