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 LEADER 02013ngm 2200493 a 450 001 9910867393303321 035 $a(CKB)4100000008878021 035 $a(UkLoHST)4003 035 $a(UkLoHST)HST4810 035 $a(EXLCZ)994100000008878021 071 50$a4810$bHenry Stewart Talks 100 $a20190805d2019 || v 101 0 $aeng 135 $aurcna|||a|||| 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOvarian cancer $epart 1 of 2, molecular characterization /$fGil Mor 210 $aLondon $cHenry Stewart Talks$d2019 215 $a1 online resource (1 streaming video file (25 min.) $ccolor, sound) 225 1 $aThe female reproductive system : from basic science to fertility treatments,$x2056-452X 300 $aAnimated audio-visual presentation with synchronized narration. 300 $aTitle from title frames. 327 $aContents: Introduction to ovarian cancer -- Past therapies for ovarian cancer and their failure -- Heterogeneity in ovarian tumors -- Identification of types of ovarian cancer cells -- Molecular characterization of ovarian cancer cells -- Hierarchy within the ovarian tumors. 410 0$aHenry Stewart talks.$pBiomedical & life sciences collection.$pFemale reproductive system. 517 3 $aOvarian cancer. part 1, Molecular characterization 606 $aCancer cells 606 $aOvaries$xCancer$xMolecular aspects 606 $aOvaries$xCancer$xPathology 606 $aNeoplastic Processes 606 $aOvarian Neoplasms$xpathology 606 $aOvarian Neoplasms$xtherapy 615 0$aCancer cells. 615 0$aOvaries$xCancer$xMolecular aspects. 615 0$aOvaries$xCancer$xPathology. 615 2$aNeoplastic Processes. 615 2$aOvarian Neoplasms$xpathology. 615 2$aOvarian Neoplasms$xtherapy. 700 $aMor$b Gil$4spk$01743907 801 0$bUkLoHST 801 1$bUkLoHST 906 $aVIDEO 912 $a9910867393303321 996 $aOvarian cancer$94172982 997 $aUNINA