LEADER 01149nam0 22002651i 450 001 SUN0032106 005 20050210120000.0 010 $a88-348-4282-0 100 $a20050209d2003 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aFunzione legislativa e Comitato per la legislazione$fLaura Lorello 210 $aTorino$cGiappichelli$dc2003 215 $aXLIV, 329 p.$d23 cm. 410 1$1001SUN0010670$12001 $aCollana di diritto costituzionale, Dipartimento di diritto pubblico dell'Università degli studi di Palermo$1210 $aTorino$cGiappichelli. 620 $dTorino$3SUNL000001 700 1$aLorello$b, Laura$3SUNV026738$0262901 712 $aGiappichelli$3SUNV000045$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0032106 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$d00 CONS VIII.Eb.250 $e00 26898 995 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$h26898$kCONS VIII.Eb.250$op$qa 996 $aFunzione legislativa e Comitato per la legislazione$9745380 997 $aUNICAMPANIA LEADER 04030nam 2200685 a 450 001 9910965078003321 005 20250709220803.0 010 $a9786613396259 010 $a9781283396257 010 $a1283396254 010 $a9780123870117 010 $a0123870119 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(PPN)170603970 035 $a(OCoLC)971543453 035 $a(OCoLC)ocn971543453 035 $a(FR-PaCSA)88812229 035 $a(CaSebORM)9780123869791 035 $a(MiAaPQ)EBC842198 035 $a(FRCYB88812229)88812229 035 $a(EXLCZ)992670000000140795 100 $a20110916d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical text mining and statistical analysis for non-structured text data applications /$fGary Miner ... [et al.] ; major guest authors, Jennifer Thompson ... [et al] 205 $aFirst edition. 210 1$aAmsterdam :$cAcademic Press,$d2012. 215 $a1 online resource (1095 pages) 300 $aDescription based upon print version of record 311 08$a9780123869791 311 08$a012386979X 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 $a006.3/12 676 $a006.312 700 $aNisbet$b Robert$0142531 701 $aMiner$b Gary$0322168 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910965078003321 996 $aPractical text mining and statistical analysis for non-structured text data applications$94338592 997 $aUNINA