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020 _a9783031114052
_9978-3-031-11405-2
024 7 _a10.1007/978-3-031-11405-2
_2doi
050 4 _aQ325.5-.7
072 7 _aUYQM
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aUYQM
_2thema
082 0 4 _a006.31
_223
100 1 _aShen, Jiaming.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987394
245 1 0 _aAutomated Taxonomy Discovery and Exploration
_h[electronic resource] /
_cby Jiaming Shen, Jiawei Han.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXI, 103 p. 34 illus., 31 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aMachine learning.
_91831
650 0 _aComputer science.
_99832
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aData mining.
_93907
650 0 _aBig data.
_94174
650 1 4 _aMachine Learning.
_91831
650 2 4 _aComputer Science.
_99832
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aData Mining and Knowledge Discovery.
_987396
650 2 4 _aBig Data.
_94174
700 1 _aHan, Jiawei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_92109
710 2 _aSpringerLink (Online service)
_987399
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031114045
776 0 8 _iPrinted edition:
_z9783031114069
776 0 8 _iPrinted edition:
_z9783031114076
830 0 _aSynthesis Lectures on Data Mining and Knowledge Discovery,
_x2151-0075
_987400
856 4 0 _uhttps://doi.org/10.1007/978-3-031-11405-2
912 _aZDB-2-SXSC
942 _cEBK
999 _c86092
_d86092