Quantitative Redundancy in Partial Implications

DOI10.1007/978-3-319-19545-2_1zbMath1312.68164arXiv1504.03620OpenAlexW1545141878MaRDI QIDQ5255640

José L. Balcázar

Publication date: 16 June 2015

Published in: Formal Concept Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1504.03620

zbMATH Keywords

association rulespartial implicationsrule mining

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Krimp: mining itemsets that compress
• The GUHA method and its meaning for data mining
• Discovering significant patterns
• On selecting interestingness measures for association rules: user oriented description and multiple criteria decision aid
• Redundancy, Deduction Schemes, and Minimum-Size Bases for Association Rules
• Entailment among Probabilistic Implications
• Frequent Pattern Mining
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