000			03301nam a2200361 a 4500
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005			20171002062033.0
006			m u
007			cr cn|||||||||
008			110916s2012 ne a sb 001 0 eng d
010			_z 2011036169
020			_z9780123869791
020			_z9780123870117 (e-book)
035			_a(CaPaEBR)ebr10537917
035			_a(OCoLC)787844636
040			_aCaPaEBR _cCaPaEBR
050	1	4	_aQA76.9.D343 _bP73 2012eb
082	0	4	_a006.3/12 _223
245	0	0	_aPractical text mining and statistical analysis for non-structured text data applications _h[electronic resource] / _cGary Miner ... [et al.] ; major guest authors, Jennifer Thompson ... [et al].
250			_a1st ed.
260			_aAmsterdam : _bAcademic Press, _c2012.
300			_axl, 1053 p. : _bill. (some col.)
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.
533			_aElectronic reproduction. _bPalo Alto, Calif. : _cebrary, _d2011. _nAvailable via World Wide Web. _nAccess may be limited to ebrary affiliated libraries.
650		0	_aData mining.
655		7	_aElectronic books. _2local
700	1		_aMiner, Gary.
710	2		_aebrary, Inc.
856	4	0	_uhttp://site.ebrary.com/lib/daystar/Doc?id=10537917 _zAn electronic book accessible through the World Wide Web; click to view
908			_a170314
942	0	0	_cEB
999			_c135557 _d135557