Commercial Data Mining: Processing, Analysis and Modeling for Predictive Analytics Projects
Autor David Nettletonen Limba Engleză Paperback – 7 apr 2014
Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book.
- Illustrates cost-benefit evaluation of potential projects
- Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools
- Approachable reference can be read from cover to cover by readers of all experience levels
- Includes practical examples and case studies as well as actionable business insights from author's own experience
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Specificații
ISBN-13: 9780124166028
ISBN-10: 0124166024
Pagini: 304
Ilustrații: 65 illustrations
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.48 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0124166024
Pagini: 304
Ilustrații: 65 illustrations
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.48 kg
Editura: ELSEVIER SCIENCE
Public țintă
Data mining professionals in business & IT.Cuprins
1. Introduction2. Business Objectives3. Data Quality4. Data Representation5. Possible Sources of Data and Information6. Selection of Variables and Factors7. Data Sampling8. Data Analysis9. Modeling10. The Data Mart – Structured Data Warehouse11. Querying, Report Generation and Executive Information Systems12. Analytical CRM – Customer Relationship Analysis13. Website Analysis and Internet Search14. Online Social Network Analysis15. Web Search Trend Analysis16. Creating your own Environment for Commercial Data Analysis17. SummaryAppendices, Case Studies
Recenzii
"...a mandatory volume for anyone who runs data mining projects, since all the steps and most important details that should not be forgotten are described here...I strongly recommend this book for anyone even slightly involved with data mining projects." --IEEE Communications Magazine, Commercial Data Mining
"I strongly disagree with Bellin’s statement that the book will not help practitioners, and one can only conclude that the reviewer is not familiar with what data mining practitioners need." -Computing Reviews, Oct 13, 2014
"I strongly disagree with Bellin’s statement that the book will not help practitioners, and one can only conclude that the reviewer is not familiar with what data mining practitioners need." -Computing Reviews, Oct 13, 2014