Data Mining

Data Mining

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Data mining and the other technologies of business intelligence can be used to transform raw data into insightful knowledge. This book discusses the role of people, technologists and managers in bringing about that transformation.
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Product details

  • Paperback | 750 pages
  • 156 x 234mm
  • Upper Saddle River, United States
  • English
  • 0130830046
  • 9780130830043

Table of contents

I. UNDERSTANDING THE BASICS OF BUSINESS INTELLIGENCE. 1. Introduction and Overview to Data Mining. An overview of the process of data mining and knowledge discovery, using a sports metaphor (the IBM Advanced Scout software that is used extensively by coaches of the National Basketball Association) to illustrate the process. 2. Measurement and Data. Ensuring high quality data through careful design of data collection mechanisms, statistical assessments, and other approaches. 3. Storing Your Data. Database systems, data marts and data warehouses. 4. Asking Questions About Your Data. Query management environments, Online analytical processing (OLAP). 5. Getting Answers from Your Data. Moving from data to knowledge using data mining techniques. II. ADVANCED TOPICS IN THE APPLICATION OF BUSINESS INTELLIGENCE TECHNOLOGY. 6. Doing Data Mining Right. How to find the strategic data mining applications that maximize your ROI. 7. Staffing and Managing the Diverse Skill Sets of People Involved in a Data Mining Project. How to effectively utilize the skill sets of business analysts, domain experts, statisticians, computer scientists and others involved in your data mining activity. 8. Data Mining, Personal Privacy and Network Security. Safeguarding widely available personal information from misuse. Using data mining for designing secure systems and for detecting intrusions. 9. Data Mining and Knowledge Management. Linking data mining activities with a framework for knowledge management. 10. Data Mining and Customer Relationship Management (CRM). The customer may always be right, but data mining can help you find the right customer. 11. Data Mining and Fulfillment on the Internet-Part I. Using data mining for managing demand and supply chains in electronic commerce. 12. Data Mining and Fulfillment on the Internet-Part II. Using data mining for managing demand and supply chains in electronic commerce. 13. Research and Development: Current and Future Directions. Data mining research activity underway in research labs and its potential impact on business.
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