Efficient Mining of Jumping Emerging Patterns with Occurrence Counts for Classification

DOI10.1007/978-3-540-88425-5_43zbMath1185.68538OpenAlexW2751401101MaRDI QIDQ3541062

Łukasz Kobyliński, Krzysztof Walczak

Publication date: 25 November 2008

Published in: Rough Sets and Current Trends in Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-88425-5_43

Mathematics Subject Classification ID

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

Related Items (2)

A Tree-Based Contrast Set-Mining Approach to Detecting Group Differences ⋮ A novel approach of mining strong jumping emerging patterns based on BSC-tree

Cites Work

• On the relation between rough set reducts and jumping emerging patterns
• Making use of the most expressive jumping emerging patterns for classification
• Unnamed Item

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