Automated Taxonomy Discovery and Exploration (Synthesis Lectures on Data Mining and Knowledge Discovery) - Softcover
- PublisherSpringer
- Publication date2023
- ISBN 10 3031114078
- ISBN 13 9783031114076
- BindingPaperback
- Edition number1
- Number of pages114
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Automated Taxonomy Discovery and Exploration (Synthesis Lectures on Data Mining and Knowledge Discovery) [Soft Cover ]
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Automated Taxonomy Discovery and Exploration (Paperback)
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Springer International Publishing AG, Cham
(2023)
ISBN 10: 3031114078
ISBN 13: 9783031114076
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Book Description Paperback. Condition: new. Paperback. This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In todays information era, people are inundated with the vast amounts of text data. Despite their usefulness, people havent yet exploited the full power of taxonomies due to the heavy curation needed for creating and maintaining them. To bridge this gap, the authors discuss automated taxonomy discovery and exploration, with an emphasis on label-efficient machine learning methods and their real-world usages. Taxonomy organizes entities and concepts in a hierarchy way. It is ubiquitous in our daily life, ranging from product taxonomies used by online retailers, topic taxonomies deployed by news outlets and social media, as well as scientific taxonomies deployed by digital libraries across various domains. When properly analyzed, these taxonomies can play a vital role for science, engineering, business intelligence, policy design, e-commerce, and more. Intuitive examples are used throughout enabling readers to grasp concepts more easily. It is ubiquitous in our daily life, ranging from product taxonomies used by online retailers, topic taxonomies deployed by news outlets and social media, as well as scientific taxonomies deployed by digital libraries across various domains. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783031114076
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Automated Taxonomy Discovery and Exploration
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ISBN 10: 3031114078
ISBN 13: 9783031114076
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In today's information era, people are inundated with the vast amounts of text data. Despite their usefulness, people haven't yet exploited the full power of taxonomies due to the heavy curation needed for creating and maintaining them. To bridge this gap, the authors discuss automated taxonomy discovery and exploration, with an emphasis on label-efficient machine learning methods and their real-world usages. Taxonomy organizes entities and concepts in a hierarchy way. It is ubiquitous in our daily life, ranging from product taxonomies used by online retailers, topic taxonomies deployed by news outlets and social media, as well as scientific taxonomies deployed by digital libraries across various domains. When properly analyzed, these taxonomies can play a vital role for science, engineering, business intelligence, policy design, e-commerce, and more. Intuitive examples are used throughout enabling readers to grasp concepts more easily. 116 pp. Englisch. Seller Inventory # 9783031114076
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Automated Taxonomy Discovery and Exploration
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ISBN 10: 3031114078
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Book Description Paperback. Condition: Brand New. 114 pages. 9.44x6.62x0.24 inches. In Stock. Seller Inventory # x-3031114078
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Automated Taxonomy Discovery and Exploration
Published by
Springer International Publishing
(2023)
ISBN 10: 3031114078
ISBN 13: 9783031114076
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Taschenbuch
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Book Description Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In today's information era, people are inundated with the vast amounts of text data. Despite their usefulness, people haven't yet exploited the full power of taxonomies due to the heavy curation needed for creating and maintaining them. To bridge this gap, the authors discuss automated taxonomy discovery and exploration, with an emphasis on label-efficient machine learning methods and their real-world usages. Taxonomy organizes entities and concepts in a hierarchy way. It is ubiquitous in our daily life, ranging from product taxonomies used by online retailers, topic taxonomies deployed by news outlets and social media, as well as scientific taxonomies deployed by digital libraries across various domains. When properly analyzed, these taxonomies can play a vital role for science, engineering, business intelligence, policy design, e-commerce, and more. Intuitive examples are used throughout enabling readers to grasp concepts more easily. Seller Inventory # 9783031114076
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Automated Taxonomy Discovery and Exploration
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, . Seller Inventory # 1094388806
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