Multilabel Classification Problem Analysis, Metrics and Techniques /

• Main Authors: Herrera, Francisco (Author), Charte, Francisco (Author), Rivera, Antonio J. (Author), del Jesus, María J. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Subjects: Computer science.; Data mining.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).

This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user w...

Table of Contents:

• Introduction
• Multilabel Classification
• Case Studies and Metrics
• Transformation based Classifiers
• Adaptation based Classifiers
• Ensemble based Classifiers
• Dimensionality Reduction
• Imbalance in Multilabel Datasets
• Multilabel Software.