A novel approach of mining strong jumping emerging patterns based on BSC-tree

DOI10.1080/00207721.2012.724110zbMath1319.68179OpenAlexW1995024370MaRDI QIDQ5172590

Yang Zhang, Zhengguo Hu, Quanzhong Liu, Peng Shi

Publication date: 4 February 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2012.724110

zbMATH Keywords

data miningBSC-treestrong jumping emerging patterns

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Cites Work

• Unnamed Item
• On the complexity of finding emerging patterns
• Efficient Mining of Jumping Emerging Patterns with Occurrence Counts for Classification
• Efficient Discovery of Top-K Minimal Jumping Emerging Patterns
• Ranking inter-relationships between clusters
• Modelling and analysis of gene regulatory network using feedback control theory
• Robust state estimation for stochastic genetic regulatory networks
• Integration of gene functional diversity for effective cancer detection

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