LEADER 02146oam 2200565 450 001 9910777767603321 005 20230210020731.0 010 $a1-57387-881-2 010 $a1-57387-943-6 035 $a(CKB)1000000000472997 035 $a(EBL)3316145 035 $a(SSID)ssj0000191904 035 $a(PQKBManifestationID)12009574 035 $a(PQKBTitleCode)TC0000191904 035 $a(PQKBWorkID)10187135 035 $a(PQKB)11133860 035 $a(MiAaPQ)EBC3316145 035 $a(EXLCZ)991000000000472997 100 $a20151005d2007|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLibrary 2.0 $ea guide to participatory library service /$fMichael Casey and Laura Savastinuk 210 $aMedford $cInformation Today, Inc.$d2007 215 $a1 online resource (201 p.) 300 $aDescription based upon print version of record. 311 0 $a1-57387-297-0 327 $a""Contents""; ""Figures""; ""Acknowledgments""; ""Foreword""; ""About the Web Page""; ""Introduction""; ""Brand Library 2.0""; ""The Essential Ingredients""; ""Finding the Road to Library 2.0""; ""A Framework for Change""; ""Participatory Service and the Long Tail""; ""Incorporating Technology""; ""Buy-In: Getting Everyone on Board""; ""Maintaining the Momentum""; ""Final Considerations""; ""Survey""; ""Referenced Web Sites""; ""References and Other Resources"" 606 $aLibrary planning$xInformation technology 606 $aPublic services (Libraries) 606 $aLibraries 606 $aLibraries and the Internet 606 $aOrganizational change 615 0$aLibrary planning$xInformation technology 615 0$aPublic services (Libraries) 615 0$aLibraries 615 0$aLibraries and the Internet 615 0$aOrganizational change 676 $a025.1 700 $aCasey$b Michael E$01577047 701 $aSavastinuk$b Laura C.$f1979-$01577048 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910777767603321 996 $aLibrary 2.0$93855283 997 $aUNINA LEADER 02675oam 2200469 450 001 9910789040803321 005 20190911100030.0 010 $a0-12-416658-X 035 $a(OCoLC)870333399 035 $a(MiFhGG)GVRL6ZRL 035 $a(EXLCZ)993710000000085682 100 $a20131203d2014 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aCommercial data mining $eprocessing, analysis and modeling for predictive analytics projects /$fDavid Nettleton 205 $a1st edition 210 1$aWaltham, MA :$cMorgan Kaufmann, an imprint of Elsevier,$d2014. 215 $a1 online resource (ix, 288 pages) $cillustrations (some color) 225 1 $aThe savvy manager's guide 300 $aDescription based upon print version of record. 311 $a0-12-416602-4 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: 1. Introduction 2. Business Objectives 3. Data Quality 4. Data Representation 5. Possible Sources of Data and Information 6. Selection of Variables and Factors 7. Data Sampling 8. Data Analysis 9. Modeling 10. The Data Mart - Structured Data Warehouse 11. Querying, Report Generation and Executive Information Systems 12. Analytical CRM - Customer Relationship Analysis 13. Website Analysis and Internet Search 14. Online Social Network Analysis 15. Web Search Trend Analysis 16. Creating your own Environment for Commercial Data Analysis 17. Summary Appendices, Case Studies. 330 $aWhether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. < 410 0$aSavvy manager's guides. 606 $aData mining 606 $aManagement$xMathematical models 606 $aManagement$xData processing 615 0$aData mining. 615 0$aManagement$xMathematical models. 615 0$aManagement$xData processing. 676 $a658/.056312 700 $aNettleton$b David$f1963-$0878483 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910789040803321 996 $aCommercial data mining$92099827 997 $aUNINA