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Business Modeling and Data Mining.

Author: Dorian Pyle
Publisher: Burlington : Elsevier, 2003.
Series: Morgan Kaufmann series in data management systems.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Dorian Pyle
ISBN: 9780080500454 0080500455 9781558606531 155860653X
OCLC Number: 466444055
In: T Referex Computing
Description: 1 online resource (721 pages).
Contents: Front Cover; Business Modeling and Data Mining; Copyright Page; Contents; Preface; Part I: A Map of the Territory; Chapter 1. The World, Knowledge, and Models; Chapter 2. Translating Experience; Chapter 3. Modeling and Mining: Putting It Together; Part II: Business Modeling; Chapter 4. What Is a Model?; Chapter 5. Framing Business Models; Chapter 6. Getting the Right Model; Chapter 7. Getting the Model Right; Chapter 8. Deploying the Model; Part III: Data Mining; Chapter 9. Getting Started; Chapter 10. What Mining Tools Do; Chapter 11. Getting the Initial Model: Basic Practices of Data Mining. Chapter 12. Improving the Mined ModelChapter 13. Deploying the Mined Model; Part IV: Methodology; Chapter 14. Methodology; MII Modeling Methodology; MIII Mining Methodology; Resources; Index.
Series Title: Morgan Kaufmann series in data management systems.

Abstract:

Demonstrates how real world business problems can be formulated so that data mining can answer them. This work explains how to understand both the strategic and tactical aspects of a business  Read more...

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