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008			180607s2019 gw a o |||| 0|eng d
020			_a9783319918150
024	7		_a10.1007/978-3-319-91815-0 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_a QA76.9.D343 _b2019 EB
100	1		_aJo, Taeho _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9673534
245	1	0	_aText Mining : _bConcepts, Implementation, and Big Data Challenge _cby Taeho Jo.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XIII, 373 páginas) _b236 ilustraciones, 148 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
490	0		_aStudies in Big Data _x2197-6503 ; _v45
505	0		_aPart I: Foundation -- Introduction -- Text Indexing -- Text Encoding -- Text Association -- Part II: Text Categorization -- Text Categorization: Conceptual View -- Text Categorization: Approaches -- Text Categorization: Implementation -- Text Categorization: Evaluation -- Part III: Text Clustering -- Text Clustering: Conceptual View -- Text Clustering: Approaches -- Text Clustering: Implementation -- Text Clustering: Evaluation -- Part IV: Advanced Topics -- Text Summarization -- Text Segmentation -- Taxonomy Generation -- Dynamic Document Organization -- References -- Index.
520	3		_aThis book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and then goes on to provide concepts, the techniques, the implementation, and the evaluation of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management. Presents techniques of preprocessing texts into structured forms; Outlines concepts of text categorization and clustering, their algorithms, and implementation guides; Includes advanced topics such as text summarization, text segmentation, topic mapping, and automatic text management.
988			_aPrimersemestre_2019_Engineering
650		7	_2embne _aData mining _9162648
650		7	_2embne _9495511 _aDatos masivos
776	0	8	_iPrinted edition: _z9783030063023
776	0	8	_iPrinted edition: _z9783319918143
776	0	8	_iPrinted edition: _z9783319918167
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-91815-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_dz _feng _ggw _h0 _b05/2020 _eIG _zSI