Commercial data mining : processing, analysis and modeling for predictive analytics projects / by David Nettleton 1963-.
Material type:
TextPublication details: Amsterdam : Elsevier, c2014.Description: xi, 288 pages ; 23 cmISBN: - 9780124166028
- CIR HD 30.25 N48 2014
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Cavite State University - CCAT Campus | Book | GCS | CIR HD 30.25 N48 2014 (Browse shelf(Opens below)) | 1 | Available | R0011116 |
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| CIR HD 30.4 M36 2021 Management and business research / | CIR HD 30.4.E47 C66 2001 Business research methods / | CIR HD 30.25 A53 2019 An introduction to management science : quantitative approaches to decision making / | CIR HD 30.25 N48 2014 Commercial data mining : processing, analysis and modeling for predictive analytics projects / | CIR HD 30.28 H34 2019 The business models handbook : templates, theory and case studies / | CIR HD 30.28 H55 2020 Strategic management : an integrated approach / | CIR HD 30.28 H58 2020 Strategic management : competitiveness and globalization : concepts and cases / |
Includes bibliographical references and index.
1. Introduction 2. Business objectives 3. Incorporating various sources of data and information 4. Data representation 5. Data quality 6. Selection of variables and factor derivation 7. Data sampling and partitioning 8. Data Analysis 9. Data modeling 10. Deployment systems : from query reporting to EIS and expert systems 11. Text analysis 12. Data mining from relationally structured data, marts and warehouses 13. CRM -- Customer Relationship Management and analysis 14. Analysis of data on the Internet I -- website analysis and internet search (online chapter) 15. Analysis of data on the Internet II -- search experience analysis (online chapter) 16. Analysis of data on the Internet III -- online social network analysis (online chapter) 17. Analysis of data on the Internet IV -- search trend analysis over time (online chapter) 18. Data privacy and privacy-preserving data publishing 19. Creating an environment for commercial data analysis 20. Summary. Appendix : Case Studies.
Helps you learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. This book 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.
In English text.
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