000 | 01405nam a22002535i 4500 | ||
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999 |
_c34779 _d34779 |
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001 | 20474963 | ||
010 | _a 2018942701 | ||
020 | _a9783319918143 | ||
040 | _aUOWD | ||
082 | _a006.312 JO TE | ||
100 |
_aJo, Taeho _922350 |
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245 | 0 | 0 |
_aText mining : _bconcepts, implementation, and big data challenge _cTaeho Jo |
260 |
_aCham : _bSpringer, _cc2019. |
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300 |
_axiii, 373 p. : _bill. ; _c25 cm. |
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490 |
_aStudies in big data ; _vVol. 45. |
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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. | ||
650 |
_aCommunications Engineering, Networks _95382 |
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650 |
_aComputational Intelligence _9907 |
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650 |
_aData Mining and Knowledge Discovery _9899 |
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650 |
_aInformation Storage and Retrieval _9902 |
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650 |
_aBig Data/Analytics _9900 |
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856 |
_uhttps://uowd.box.com/s/5tfcyofz1iagzl63whqgic1sfxmdzuij _zLocation Map |
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942 | _cREGULAR |