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007			cr nn 008mamaa
008			230427s2015 sz | s |||| 0|eng d
020			_a9783031019074
024	7		_a10.1007/978-3-031-01907-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.D343 _b2015 EB
100	1		_aWang, Chi _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688269 _c(Computer scientist)
245	1	0	_aMining Latent Entity Structures _cby Chi Wang, Jiawei Han
250			_a1st edition 2015
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XI, 147 páginas)
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		_aAcknowledgments -- Introduction -- Hierarchical Topic and Community Discovery -- Topical Phrase Mining -- Entity Topical Role Analysis -- Mining Entity Relations -- Scalable and Robust Topic Discovery -- Application and Research Frontier -- Bibliography -- Authors' Biographies.
520			_aThe "big data" era is characterized by an explosion of information in the form of digital data collections, ranging from scientific knowledge, to social media, news, and everyone's daily life. Examples of such collections include scientific publications, enterprise logs, news articles, social media, and general web pages. Valuable knowledge about multi-typed entities is often hidden in the unstructured or loosely structured, interconnected data. Mining latent structures around entities uncovers hidden knowledge such as implicit topics, phrases, entity roles and relationships. In this monograph, we investigate the principles and methodologies of mining latent entity structures from massive unstructured and interconnected data. We propose a text-rich information network model for modeling data in many different domains. This leads to a series of new principles and powerful methodologies for mining latent structures, including (1) latent topical hierarchy, (2) quality topical phrases, (3) entity roles in hierarchical topical communities, and (4) entity relations. This book also introduces applications enabled by the mined structures and points out some promising research directions.
988			_aSynthesis Collection of Technology_2015
650		7	_2embne _9162648 _aData mining
700	1		_aHan, Jiawei _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686325
776	0	8	_iPrinted edition: _z9783031007798
776	0	8	_iPrinted edition: _z9783031030352
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01907-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI