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008			220928s2022 sz | s |||| 0|eng d
020			_a9783031114052
024	7		_a10.1007/978-3-031-11405-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ387.4 _b2022 EB
100	1		_aShen, Jiaming _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686598
245	1	0	_aAutomated Taxonomy Discovery and Exploration _cby Jiaming Shen, Jiawei Han
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 103 páginas) _b34 ilustraciones, 31 ilustraciones en blanco y negro
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Data Mining and Knowledge Discovery _x2151-0075
505	0		_aIntroduction -- Concept Set Expansion -- Taxonomy Construction -- Taxonomy Enrichment -- Taxonomy-Guided Classification -- Conclusions.
520			_aThis 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, ecommerce, and more. Intuitive examples are used throughout enabling readers to grasp concepts more easily. In addition, this book: 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 their real-world applications Includes supporting materials containing links to commonly used evaluation datasets and a code repository of representative algorithms.
988			_aSynthesis Collection of Technology_2022
650		7	_2embne _9166090 _aAprendizaje automático
650		7	_2embne _9686599 _aOntologías (Recuperación de la información)
650		7	_2embne _9147823 _aRecuperación de la información _xProceso de datos
700	1		_aHan, Jiawei _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686325
776	0	8	_iPrinted edition: _z9783031114045
776	0	8	_iPrinted edition: _z9783031114069
776	0	8	_iPrinted edition: _z9783031114076
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-11405-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI