Visualizing the behavior and some symmetry properties of Bayesian confirmation measures

DOI10.1007/s10618-016-0487-5zbMath1416.62064OpenAlexW2559877910MaRDI QIDQ1741318

Emilio Celotto

Publication date: 3 May 2019

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

Full work available at URL: https://doi.org/10.1007/s10618-016-0487-5

zbMATH Keywords

Bayesian confirmation measureinterestingness measureROC spacerule evaluationrule learning heuristicrule visualization

Mathematics Subject Classification ID

Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10)

Related Items (1)

Scenario-based analysis for discovering relations among interestingness measures

Cites Work

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• ROC `n' rule learning -- towards a better understanding of covering algorithms
• On selecting interestingness measures for association rules: user oriented description and multiple criteria decision aid
• Likelihoodism, Bayesianism, and relational confirmation

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