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SpringerBriefs in Computer Science

Large Scale Hierarchical Classification: State of the Art

Authors: Naik, Azad, Rangwala, Huzefa

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  • ISBN 978-3-030-01620-3
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About this book

This SpringerBrief covers the technical material related to large scale hierarchical classification (LSHC). HC is an important machine learning problem that has been researched and explored extensively in the past few years. In this book, the authors provide a comprehensive overview of various state-of-the-art existing methods and algorithms that were developed to solve the HC problem in large scale domains. Several challenges faced by LSHC is discussed in detail such as:

 1. High imbalance between classes at different levels of the hierarchy

2. Incorporating relationships during model learning leads to optimization issues

3. Feature selection

4. Scalability due to large number of examples, features and classes

5. Hierarchical inconsistencies

6. Error propagation due to multiple decisions involved in making predictions for top-down methods

 The brief also demonstrates how multiple hierarchies can be leveraged for improving the HC performance using different Multi-Task Learning (MTL) frameworks.

 The purpose of this book is two-fold:

1. Help novice researchers/beginners to get up to speed by providing a comprehensive overview of several existing techniques.

2. Provide several research directions that have not yet been explored extensively to advance the research boundaries in HC.

 New approaches discussed in this book include detailed information corresponding to the hierarchical inconsistencies, multi-task learning and feature selection for HC. Its results are highly competitive with the state-of-the-art approaches in the literature.


Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-030-01620-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-030-01619-7
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Large Scale Hierarchical Classification: State of the Art
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-01620-3
DOI
10.1007/978-3-030-01620-3
Softcover ISBN
978-3-030-01619-7
Series ISSN
2191-5768
Edition Number
1
Number of Pages
XVI, 93
Number of Illustrations
1 b/w illustrations, 56 illustrations in colour
Topics

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