Big Data, Mining, and Analytics
eBook - ePub

Big Data, Mining, and Analytics

Components of Strategic Decision Making

  1. 325 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Big Data, Mining, and Analytics

Components of Strategic Decision Making

Book details
Table of contents
Citations

About This Book

This book ties together big data, data mining, and analytics to explain how readers can leverage them to transform their business strategy. Illustrating basic approaches of business intelligence to data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and Internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining.

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Yes, you can access Big Data, Mining, and Analytics by Stephan Kudyba in PDF and/or ePUB format, as well as other popular books in Computer Science & Databases. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Auerbach Publications
Year
2014
ISBN
9781040054772
Edition
1
Topic
Computer Science
Subtopic
Databases
Index
Computer Science

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Foreword
  8. About the Author
  9. Contributors
  10. Chapter 1: Introduction to the Big Data Era
  11. Chapter 2: Information Creation through Analytics
  12. Chapter 3: Big Data Analytics—Architectures, Implementation Methodology, and Tools
  13. Chapter 4: Data Mining Methods and the Rise of Big Data
  14. Chapter 5: Data Management and the Model Creation Process of Structured Data for Mining and Analytics
  15. Chapter 6: the Internet: A Source of New Data for Mining in Marketing
  16. Chapter 7: Mining and Analytics in E-Commerce
  17. Chapter 8: Streaming Data in the Age of Big Data
  18. Chapter 9: Using CEP for Real-Time Data Mining
  19. Chapter 10: Transforming Unstructured Data into Useful Information
  20. Chapter 11: Mining Big Textual Data
  21. Chapter 12: the New Medical Frontier: Real-Time Wireless Medical Data Acquisition for 21st-Century Healthcare and Data Mining Challenges
  22. Index