000			03847nam a22006015i 4500
001			978-3-031-75976-5
003			DE-He213
005			20250516160203.0
007			cr nn 008mamaa
008			241215s2024 sz | s |||| 0|eng d
020			_a9783031759765 _9978-3-031-75976-5
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
072		7	_aUYQ _2thema
082	0	4	_a006.3 _223
100	1		_aJo, Taeho. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aText Mining _h[electronic resource] : _bConcepts, Implementation, and Big Data Challenge / _cby Taeho Jo.
250			_a2nd ed. 2024.
264		1	_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024.
300			_aXV, 447 p. 368 illus., 147 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		_aStudies in Big Data, _x2197-6511 ; _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			_aThis popular book, updated as a textbook for classroom use, 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. The book features exercises and code to help readers quickly learn and apply knowledge. Presents an array of updated techniques for preprocessing texts into structured forms, geared for classroom use; 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.
541			_fUABC ; _cPerpetuidad
650		0	_aComputational intelligence.
650		0	_aTelecommunication.
650		0	_aData mining.
650		0	_aInformation storage and retrieval systems.
650		0	_aQuantitative research.
650	1	4	_aComputational Intelligence.
650	2	4	_aCommunications Engineering, Networks.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aData Analysis and Big Data.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031759758
776	0	8	_iPrinted edition: _z9783031759772
776	0	8	_iPrinted edition: _z9783031759789
830		0	_aStudies in Big Data, _x2197-6511 ; _v45
856	4	0	_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-75976-5
912			_aZDB-2-INR
912			_aZDB-2-SXIT
942			_cLIBRO_ELEC
999			_c276969 _d276968