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Titlebook: Automated Taxonomy Discovery and Exploration; Jiaming Shen,Jiawei Han Book 2022 The Editor(s) (if applicable) and The Author(s), under exc

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發(fā)表于 2025-3-21 16:27:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Automated Taxonomy Discovery and Exploration
影響因子2023Jiaming Shen,Jiawei Han
視頻videohttp://file.papertrans.cn/167/166354/166354.mp4
發(fā)行地址Discusses the process of creating, maintaining, and applying taxonomies via simple, easy-to-understand examples.Provides a systematic review of the current research frontier of each task and discusses
學(xué)科分類Synthesis Lectures on Data Mining and Knowledge Discovery
圖書封面Titlebook: Automated Taxonomy Discovery and Exploration;  Jiaming Shen,Jiawei Han Book 2022 The Editor(s) (if applicable) and The Author(s), under exc
影響因子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 enab
Pindex Book 2022
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發(fā)表于 2025-3-21 23:33:41 | 只看該作者
Synthesis Lectures on Data Mining and Knowledge Discoveryhttp://image.papertrans.cn/b/image/166354.jpg
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發(fā)表于 2025-3-22 05:00:39 | 只看該作者
978-3-031-11407-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-22 10:04:09 | 只看該作者
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發(fā)表于 2025-3-22 18:46:25 | 只看該作者
TPW and , Induced by Ice-Sheet Loading, enrich a concept taxonomy with new emerging concepts. Specifically, we first will present a self-supervised taxonomy expansion framework that automatically expands existing taxonomies without manually labeled data. Then, we discuss a few extensions of our framework that further improves the taxonom
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發(fā)表于 2025-3-22 22:22:52 | 只看該作者
Covert Channels in SIP for VoIP Signallingine product recommendation, literature semantic indexing, etc. One important step towards those taxonomy-enhanced applications is to associate the text unit (either an entire document or an in-context text span) with a set of classes in the corresponding taxonomy. In this chapter, we discuss such a
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發(fā)表于 2025-3-23 03:47:18 | 只看該作者
Automated Taxonomy Discovery and Exploration978-3-031-11405-2Series ISSN 2151-0067 Series E-ISSN 2151-0075
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發(fā)表于 2025-3-23 05:36:45 | 只看該作者
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