000 | 03606nam a22005895i 4500 | ||
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001 | 978-3-319-91815-0 | ||
003 | DE-He213 | ||
005 | 20220801220918.0 | ||
007 | cr nn 008mamaa | ||
008 | 180607s2019 sz | s |||| 0|eng d | ||
020 |
_a9783319918150 _9978-3-319-91815-0 |
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024 | 7 |
_a10.1007/978-3-319-91815-0 _2doi |
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050 | 4 | _aTK5101-5105.9 | |
072 | 7 |
_aTJK _2bicssc |
|
072 | 7 |
_aTEC041000 _2bisacsh |
|
072 | 7 |
_aTJK _2thema |
|
082 | 0 | 4 |
_a621.382 _223 |
100 | 1 |
_aJo, Taeho. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _953069 |
|
245 | 1 | 0 |
_aText Mining _h[electronic resource] : _bConcepts, Implementation, and Big Data Challenge / _cby Taeho Jo. |
250 | _a1st ed. 2019. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
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300 |
_aXIII, 373 p. 236 illus., 148 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 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. | ||
650 | 0 |
_aTelecommunication. _910437 |
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650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aInformation storage and retrieval systems. _922213 |
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650 | 0 |
_aQuantitative research. _94633 |
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650 | 1 | 4 |
_aCommunications Engineering, Networks. _931570 |
650 | 2 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _953070 |
650 | 2 | 4 |
_aInformation Storage and Retrieval. _923927 |
650 | 2 | 4 |
_aData Analysis and Big Data. _953071 |
710 | 2 |
_aSpringerLink (Online service) _953072 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319918143 |
776 | 0 | 8 |
_iPrinted edition: _z9783319918167 |
776 | 0 | 8 |
_iPrinted edition: _z9783030063023 |
830 | 0 |
_aStudies in Big Data, _x2197-6511 ; _v45 _953073 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-91815-0 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c79078 _d79078 |