Decision trees for hierarchical multi-label classification

DOI10.1007/s10994-008-5077-3zbMath1470.62098OpenAlexW1967542092WikidataQ58012271 ScholiaQ58012271MaRDI QIDQ1009293

Sašo Džeroski, Leander Schietgat, Celine Vens, Hendrik Blockeel, Jan Struyf

Publication date: 31 March 2009

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

Full work available at URL: https://doi.org/10.1007/s10994-008-5077-3

zbMATH Keywords

decision treeshierarchical classificationmulti-label classificationfunctional genomicsprecision-recall analysis

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10)

Related Items (26)

Angle-Based Hierarchical Classification Using Exact Label Embedding ⋮ Global multi-output decision trees for interaction prediction ⋮ Ensembles for multi-target regression with random output selections ⋮ VR-BFDT: a variance reduction based binary fuzzy decision tree induction method for protein function prediction ⋮ A hierarchical multi-label classification algorithm for gene function prediction ⋮ An evaluation of global-model hierarchical classification algorithms for hierarchical classification problems with single path of labels ⋮ Multilabel Classification with Principal Label Space Transformation ⋮ Hierarchical multi-label classification using local neural networks ⋮ Multi-label classification and extracting predicted class hierarchies ⋮ A survey of hierarchical classification across different application domains ⋮ Hierarchical multilabel classification based on path evaluation ⋮ Multi-label classification via multi-target regression on data streams ⋮ Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference ⋮ Active learning for hierarchical multi-label classification ⋮ Combining instance-based learning and logistic regression for multilabel classification ⋮ Multi-dimensional classification with Bayesian networks ⋮ Bonsai: diverse and shallow trees for extreme multi-label classification ⋮ Incremental predictive clustering trees for online semi-supervised multi-target regression ⋮ Multi-label feature ranking with ensemble methods ⋮ Multi-target prediction: a unifying view on problems and methods ⋮ Correlation based splitting criterionin multi branch decision tree ⋮ A semi-dependent decomposition approach to learn hierarchical classifiers ⋮ Feature selection for multi-label naive Bayes classification ⋮ Handling imbalance in hierarchical classification problems using local classifiers approaches ⋮ Learning with cone-based geometric models and orthologics ⋮ Multi-Label Classification Neural Networks with Hard Logical Constraints

Uses Software

• C4.5
• PSI-BLAST
• BLAST

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Decision trees for hierarchical multi-label classification