000			03162cam a2200361 a 4500
999			_c9166 _d9166
001			16965207
003			OSt
005			20210124104242.0
008			110916s2012 maua b 001 0 eng
010			_a 2011036169
020			_a9780123869791
040			_aDLC _cDLC
042			_apcc
050	0	0	_aQA76.9.D343 _bP73 2012
082	0	0	_a006.312 _223 _bP
245	0	0	_aPractical text mining and statistical analysis for non-structured text data applications / _cGary Miner ... [et al.].
250			_a1st ed.
260			_aWaltham, MA : _bAcademic Press, _c2012.
300			_axl, 1053 p. : _bill. ; _c25 cm. + _e1 computer disc.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
500			_acomputer bookfair2015
504			_aIncludes bibliographical references and index.
505	8		_aMachine generated contents note: Preface: What is TM and what it can do for you Introduction: How to use this book, and chapter summaries Part I: History, Process and Applications of Text Mining; Part II: Tutorials Part III: Areas of Technical Focus in Text Mining Part V: Text Mining Practice and Prospect: The Right Model for the Right Purpose, Summary, and the Future of TM.
520			_a"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"-- _cProvided by publisher.
650		0	_aData mining.
700	1		_aMiner, Gary.
856			_3Abstract _uhttp://repository.fue.edu.eg/xmlui/handle/123456789/3614
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK