000758014 000__ 03165cam\a2200337Ma\4500
000758014 001__ 758014
000758014 005__ 20210515115952.0
000758014 006__ m\\\\\o\\d\\\\\\\\
000758014 007__ cr\cn\nnnunnun
000758014 008__ 110916s2012\\\\ne\a\\\\ob\\\\001\0\eng\d
000758014 010__ $$z  2011036169
000758014 020__ $$z9780123869791
000758014 020__ $$a9780123870117$$q(electronic book)
000758014 035__ $$a(CaPaEBR)ebr10537917
000758014 035__ $$a(OCoLC)787844636
000758014 040__ $$aCaPaEBR$$cCaPaEBR
000758014 05014 $$aQA76.9.D343$$bP73 2012eb
000758014 08204 $$a006.3/12$$223
000758014 24500 $$aPractical text mining and statistical analysis for non-structured text data applications$$h[electronic resource] /$$cGary Miner ... [et al.] ; major guest authors, Jennifer Thompson ... [et al].
000758014 250__ $$a1st ed.
000758014 260__ $$aAmsterdam :$$bAcademic Press,$$c2012.
000758014 300__ $$axl, 1053 p. :$$bill. (some col.)
000758014 504__ $$aIncludes bibliographical references and index.
000758014 5058_ $$aMachine generated contents note: Preface: What is TM and what it can do for you Introduction: How to use this book, and chapter summaries Part I: History, Process and Applications of Text Mining; Part II: Tutorials Part III: Areas of Technical Focus in Text Mining Part V: Text Mining Practice and Prospect: The Right Model for the Right Purpose, Summary, and the Future of TM.
000758014 506__ $$aAccess limited to authorized users.
000758014 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.
000758014 650_0 $$aData mining.
000758014 7001_ $$aMiner, Gary.
000758014 852__ $$bebk
000758014 85640 $$3ProQuest Ebook Central Academic Complete$$uhttps://univsouthin.idm.oclc.org/login?url=http://site.ebrary.com/lib/usiricelib/Doc?id=10537917$$zOnline Access
000758014 909CO $$ooai:library.usi.edu:758014$$pGLOBAL_SET
000758014 980__ $$aEBOOK
000758014 980__ $$aBIB
000758014 982__ $$aEbook
000758014 983__ $$aOnline