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Data Mining and Knowledge Discovery

Ausgabe 6/2023

Inhalt (12 Artikel)

Fast block-wise partitioning for extreme multi-label classification

Yuefeng Liang, Cho-Jui Hsieh, Thomas C. M. Lee

Datasets, tasks, and training methods for large-scale hypergraph learning

Sunwoo Kim, Dongjin Lee, Yul Kim, Jungho Park, Taeho Hwang, Kijung Shin

Open Access

Symmetry properties and asymmetry evaluation of Bayesian Confirmation Measures

Emilio Celotto, Andrea Ellero, Paola Ferretti

An alternative for data visualization using space-filling curve

Valentin Owczarek, Patrick Franco, Rémy Mullot

trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes

Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta, Puneet Agrawal

Reciprocity in directed hypergraphs: measures, findings, and generators

Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin

Open Access

i-Align: an interpretable knowledge graph alignment model

Bayu Distiawan Trisedya, Flora D. Salim, Jeffrey Chan, Damiano Spina, Falk Scholer, Mark Sanderson

Open Access

Column-coherent matrix decomposition

Nikolaj Tatti