LEADER 03754nam 2200577 a 450 001 9910790470303321 005 20200520144314.0 010 $a1-283-39625-4 010 $a9786613396259 010 $a0-12-387011-9 035 $a(CKB)2670000000140795 035 $a(EBL)842198 035 $a(OCoLC)773566730 035 $a(SSID)ssj0000576095 035 $a(PQKBManifestationID)12273591 035 $a(PQKBTitleCode)TC0000576095 035 $a(PQKBWorkID)10553584 035 $a(PQKB)10087286 035 $a(Au-PeEL)EBL842198 035 $a(CaPaEBR)ebr10537917 035 $a(CaONFJC)MIL339625 035 $a(CaSebORM)9780123869791 035 $a(MiAaPQ)EBC842198 035 $a(PPN)170603970 035 $a(EXLCZ)992670000000140795 100 $a20110916d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aPractical text mining and statistical analysis for non-structured text data applications$b[electronic resource] /$fGary Miner ... [et al.] ; major guest authors, Jennifer Thompson ... [et al] 205 $a1st ed. 210 $aAmsterdam $cAcademic Press$d2012 215 $a1 online resource (1095 p.) 300 $aDescription based upon print version of record 311 $a0-12-386979-X 320 $aIncludes bibliographical references and index. 327 $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. 330 $a"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--$cProvided by publisher. 606 $aData mining 615 0$aData mining. 676 $a006.3/12 701 $aMiner$b Gary$0322168 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910790470303321 996 $aPractical text mining and statistical analysis for non-structured text data applications$93811885 997 $aUNINA