02675oam 2200469 450 991078904080332120190911100030.00-12-416658-X(OCoLC)870333399(MiFhGG)GVRL6ZRL(EXLCZ)99371000000008568220131203d2014 uy 0engurun|---uuuuardacontentrdamediardacarrierCommercial data mining processing, analysis and modeling for predictive analytics projects /David Nettleton1st editionWaltham, MA :Morgan Kaufmann, an imprint of Elsevier,2014.1 online resource (ix, 288 pages) illustrations (some color)The savvy manager's guideDescription based upon print version of record.0-12-416602-4 Includes bibliographical references and index.Machine 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.Whether 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. <Savvy manager's guides.Data miningManagementMathematical modelsManagementData processingData mining.ManagementMathematical models.ManagementData processing.658/.056312Nettleton David1963-878483MiFhGGMiFhGGBOOK9910789040803321Commercial data mining2099827UNINA