Discovering a taste for the unusual: exceptional models for preference mining

DOI10.1007/s10994-018-5743-zzbMath1475.68266OpenAlexW2869171338WikidataQ62048795 ScholiaQ62048795MaRDI QIDQ1631830

Y. Aharonov

Publication date: 7 December 2018

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-018-5743-z

zbMATH Keywords

label rankingpreference learningsubgroup discoveryexceptional model miningdistribution rules

Mathematics Subject Classification ID

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

Related Items (2)

Comparing boosting and bagging for decision trees of rankings ⋮ Robust reputation independence in ranking systems for multiple sensitive attributes

Uses Software

• UCI-ml
• zipcode
• MovieLens

Cites Work

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• A novel method for estimating the common signals for consensus across multiple ranked lists
• Exceptional model mining. Exceptional model mining, supervised descriptive local pattern mining with complex target concepts
• Label ranking by learning pairwise preferences
• Ranking players in multiple tournaments
• COMPARING AND AGGREGATING PARTIAL ORDERS WITH KENDALL TAU DISTANCES
• Preference Learning: An Introduction
• Label Ranking Algorithms: A Survey
• Learning of Rule Ensembles for Multiple Attribute Ranking Problems
• Exceptional Model Mining
• Machine Learning: ECML 2003

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