What to expect from a set of itemsets?

DOI10.1016/j.ins.2021.12.115OpenAlexW4206609493MaRDI QIDQ6190045

Stéphane Lallich, Philippe Lenca, T. Delacroix

Publication date: 5 February 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.12.115

zbMATH Keywords

redundancymaximum entropy modelpattern miningindependence modelinterestingnessitemset mining

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Knowledge representation (68T30) Measures of information, entropy (94A17) Information geometry (statistical aspects) (62B11)

Cites Work

• A Mathematical Theory of Communication
• Maximum entropy models and subjective interestingness: an application to tiles in binary databases
• Behavior-based clustering and analysis of interestingness measures for association rule mining
• An analysis of first-order logics of probability
• Computational complexity of queries based on itemsets
• Probabilistic logic
• Numerical methods for roots of polynomials. II
• On interestingness measures of formal concepts
• On selecting interestingness measures for association rules: user oriented description and multiple criteria decision aid
• From statistical knowledge bases to degrees of belief
• Interesting Patterns
• Formal Framework for the Study of Algorithmic Properties of Objective Interestingness Measures
• Probability Theory
• Elements of Information Theory
• Approximating discrete probability distributions with dependence trees
• Generalized Iterative Scaling for Log-Linear Models
• Algorithms in real algebraic geometry
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: What to expect from a set of itemsets?