Construction of an Off-Centered Entropy for the Supervised Learning of Imbalanced Classes: Some First Results

DOI10.1080/03610920903140247zbMath1187.62006OpenAlexW1999338223MaRDI QIDQ3562426

Stéphane Lallich, Benoît Vaillant, Philippe Lenca

Publication date: 21 May 2010

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920903140247

zbMATH Keywords

decision treesShannon's entropyimbalanced class problemoff-centered entropy

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Statistical aspects of information-theoretic topics (62B10)

Related Items (3)

AECID: asymmetric entropy for classifying imbalanced data ⋮ Enhancing techniques for learning decision trees from imbalanced data ⋮ Bayesian Uncertainty Directed Trial Designs

Uses Software

• UCI-ml
• C4.5

Cites Work

• A probabilistic framework towards the parameterization of association rule interestingness measures
• Diversity as a Concept and its Measurement
• Measures of Association for Cross Classifications
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