Tech Mining
Exploiting New Technologies for Competitive Advantage
(Sprache: Englisch)
Tech Mining makes exploitation of text databases meaningful to those who can gain from derived knowledge about emerging technologies. It begins with the premise that we have the information, the tools to exploit it, and the need for the resulting...
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Klappentext zu „Tech Mining “
Tech Mining makes exploitation of text databases meaningful to those who can gain from derived knowledge about emerging technologies. It begins with the premise that we have the information, the tools to exploit it, and the need for the resulting knowledge.The information provided puts new capabilities at the hands of technology managers. Using the material present, these managers can identify and access the most valuable technology information resources (publications, patents, etc.); search, retrieve, and clean the information on topics of interest; and lower the costs and enhance the benefits of competitive technological intelligence operations.
Inhaltsverzeichnis zu „Tech Mining “
List of FiguresPreface
Acknowledgments
Acronyms & Shorthands--Glossary
PART I. UNDERSTAND TECH MINING
Chapter 1. Technological Innovation and the Need for Tech Mining
Chapter 2. How Tech Mining Works
Chapter 3. What Tech Mining Can Do for You
Chapter 4. Example Results: Fuel Cells Tech Mining
Chapter 5. What to Watch For in Tech Mining
PART II. DOING TECH MINING
Chapter 6. Finding the Right Sources
Chapter 7. Forming the Right Query
Chapter 8. Getting the Data
Chapter 9. Basic Analyses
Chapter 10. Advanced Analyses
Chapter 11. Trend Analyses
Chapter 12. Patent Analyses
Chapter 13. Generating and Presenting Innovation Indicators
Chapter 14. Managing the Tech Mining Process
Chapter 15. Measuring Tech Mining Results
Chapter 16. Examples Process: Tech Mining on Fuel Cells
Appendix A: Selected Publication and patent Databases
Appendix B: Text Mining Software
Appendix C: What You Can Do Without Tech Mining Software
Appendix D: Statistics and Distributions for Analyzing Text Entities
References
Index
Autoren-Porträt von Alan L. Porter, Scott W. Cunningham
ALAN L. PORTER's major concentration is technology intelligence, forecasting, and assessment. He has led the development of "technology opportunity analysis"-mining electronic bibliographic data sources to generate intelligence on emerging technologies. He holds a BS in chemical engineering from the California Institute of Technology, and a PhD in engineering psychology from UCLA. He is currently Director, Research & Development, for Search Technology, Inc., in Norcross, Georgia.SCOTT W. CUNNINGHAM worked for the Technology Policy & Assessment Center at the Georgia Institute of Technology. He has worked in industry as a data mining and machine learning consultant, working chiefly in the e-commerce and retail industries. He holds a BEng in engineering science and mechanics from Georgia Tech and a DPhil in science, technology, and innovation policy from the University of Sussex, UK. He currently serves as an assistant professor on the Technology, Policy, and Management faculty of TU Delft.
Bibliographische Angaben
- Autoren: Alan L. Porter , Scott W. Cunningham
- 2004, 1. Auflage, 352 Seiten, Maße: 16,1 x 24 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 047147567X
- ISBN-13: 9780471475675
- Erscheinungsdatum: 21.10.2004
Sprache:
Englisch
Rezension zu „Tech Mining “
"...useful to a variety of institutions, programs, and people." (E-STREAMS, August 2005) "Two data mining practitioners explain how to use the available software tools...to quickly access the technological information needed to gain competitive advantage." (Research Technology Management, May-June 2005)
Pressezitat
"...useful to a variety of institutions, programs, and people." ( E-STREAMS , August 2005)"Two data mining practitioners explain how to use the available software tools...to quickly access the technological information needed to gain competitive advantage." ( Research Technology Management , May-June 2005)
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