Predictive Bi-clustering Trees for Hierarchical Multi-label Classification

Bruna Zamith Santos; Felipe Kenji Nakano; Ricardo Cerri; Celine Vens

doi:10.1007/978-3-030-67664-3_42

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Predictive Bi-clustering Trees for Hierarchical Multi-label Classification

Bruna Zamith Santos Felipe Kenji Nakano Ricardo Cerri Celine Vens

Year: 2021 Lecture notes in computer science Pages: 701-718 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-67664-3_42

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Keywords:

Computer science Multi-label classification Tree (set theory) Artificial intelligence Cluster analysis Benchmark (surveying) Decision tree Set (abstract data type) Context (archaeology) Data mining Machine learning Pattern recognition (psychology) Feature (linguistics) Exploit Mathematics

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Web Data Mining and Analysis

Physical Sciences → Computer Science → Information Systems

Predictive Bi-clustering Trees for Hierarchical Multi-label Classification

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