SIAS-miner: mining subjectively interesting attributed subgraphs

DOI10.1007/s10618-019-00664-wzbMath1458.68157arXiv1905.03040OpenAlexW2991628432MaRDI QIDQ2218410

Jefrey Lijffijt, Céline Robardet, Marc Plantevit, Tijl De Bie, Ahmad Mel, Anes Bendimerad

Publication date: 15 January 2021

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1905.03040

zbMATH Keywords

subjective interestingnesssubgraph miningattributed graphs

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10)

Related Items (4)

Enumeration of support-closed subsets in confluent systems ⋮ Online summarization of dynamic graphs using subjective interestingness for sequential data ⋮ Polynomial-delay enumeration algorithms in set systems ⋮ SIAS-miner

Cites Work

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• A Spectral Framework for Anomalous Subgraph Detection
• Detecting Localized Categorical Attributes on Graphs
• Listing All Maximal Cliques in Large Sparse Real-World Graphs

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