Data Mining for Design and Marketing
eBook - PDF

Data Mining for Design and Marketing

  1. 336 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Data Mining for Design and Marketing

Book details
Table of contents
Citations

About This Book

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems.The expert contributors discuss how data mining can identify valuable consumer patterns, which aid marketers and designers in de

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Yes, you can access Data Mining for Design and Marketing by Yukio Ohsawa, Katsutoshi Yada in PDF and/or ePUB format, as well as other popular books in Business & Sales. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2009
ISBN
9781420070224
Edition
1
Topic
Business
Subtopic
Sales
Index
Business

Table of contents

  1. Front cover
  2. Contents
  3. Preface
  4. Editors
  5. Contributors
  6. Chapter 1. Sensing Values in Designing Products and Markets on Data Mining and Visualizations
  7. Chapter 2. Reframing the Data-Mining Process
  8. Chapter 3. The Use of Online Market Analysis Systems to Achieve Competitive Advantage
  9. Chapter 4. Finding Hierarchical Patterns in Large POS Data Using Historical Trees
  10. Chapter 5. A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis
  11. Chapter 6. Data Mining for Improved Web Site Design and Enhanced Marketing
  12. Chapter 7. Discourse Analysis and Creativity Support for Concept Product Design
  13. Chapter 8. Data Crystallization with Human Interactions Applied for Designing New Products
  14. Chapter 9. Improving and Applying Chance Discovery for Design Analysis
  15. Chapter 10. Mining for Influence Leaders in Global Teamwork Projects
  16. Chapter 11. Analysis Framework for Knowledge Discovery Related to Persuasion Process Conversation Logs
  17. Chapter 12. Association Bundle- Based Market Basket Analysis
  18. Chapter 13. Formal Concept Analysis with Attribute Priorities
  19. Chapter 14. Literature Categorization System for Automated Database Retrieval of Scientific Articles Based on Dedicated Taxonomy
  20. Chapter 15. A Data-Mining Framework for Designing Personalized E-Commerce Support Tools
  21. Chapter 16. An Adjacency Matrix Approach for Extracting User Sentiments
  22. Chapter 17. Visualizing RFID Tag Data in a Library for Detecting Latent Interest of Users
  23. Appendix A: KeyGraph and Pictorial KeyGraph
  24. Appendix B: A Maximal Cliques Enumeration Algorithm for MBA Transaction Data*
  25. Index
  26. Back cover