Tag: data mining

The publication of a comprehensive, domain-agnostic survey on event detection in online social networks arrives at a moment when the ...

Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based learning in a semi-supervised framework that improves ...

Researchers show that temporally correlated input noise, not model capacity, drives unstable long-horizon forecasts, and introduce NoDE, a lightweight embedding ...

Researchers have unveiled PMFS-NRDLC, a unified framework that removes noisy labels and selects informative features simultaneously for partial multi-label learning, ...

Researchers at Chiang Mai University have developed Triplet Node Influence, a hybrid method combining degree centrality, communicability, and a gravity-based ...

Researchers at Yanshan University have developed ADPOD, an outlier detection algorithm that improves density-peak clustering with an affinity-based density measure, ...

A new systematic review and survey of 350 practitioners distills decades of fragmented research into a 24-factor taxonomy of what ...

Registration has opened for the SIAM Conference on Mathematics of Data Science, MDS26, which will convene researchers from academia, industry, ...

Researchers in China have developed a structure-adaptive Belief Rule Base tuned by an improved whale optimization algorithm that automates heart ...

Researchers have developed IGA, an unsupervised graph alignment framework that uses isomorphism-aware neural networks to predict anchor links across social ...