Tag: data mining

A new adversarial training method called MI-MKGC dynamically balances text, image, and structural information to predict missing facts in multimodal ...

Researchers have unveiled a subspace clustering framework that preserves the structural fidelity of high-dimensional data while avoiding the prohibitive cost ...

Researchers have developed 3CPO, a Poisson-based clustering algorithm that groups count data accurately while automatically identifying which columns of a ...

Researchers have developed a focused positive-unlabeled learning method that uses focal loss to achieve state-of-the-art performance on severely imbalanced datasets ...

Researchers in China have developed a detection method that combines temporal knowledge graphs, time-series tensors, and a variational autoencoder paired ...

Researchers at Uppsala University have developed MOUFLON, a scalable fairness-aware community detection algorithm that balances modularity with demographic fairness across ...

Researchers in China have developed three new algorithms, LIDUS, LDUS and aLDUS, that compress massive knowledge graphs into compact summaries ...

Researchers at Cairo University have developed EPOBPA, a parallelizable frequent itemset mining algorithm that outperforms existing techniques by 36 to ...

Researchers have developed hyperspherical supervised topic models that encode word and knowledge graph embeddings on the unit sphere to produce ...

Researchers have developed CurvBi, a framework that unites four-dimensional bicomplex algebra with Fisher-Rao-based Riemannian fusion to improve multimodal knowledge graph ...