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