Tech Mining
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Tech Mining
Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
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.
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.
Series: Wiley Series in Systems Engineering and Management
View allBook Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Praised for its practical approach, Tech Mining is described as "useful to a variety of institutions, programs, and people" (E-STREAMS, 2005). It offers clear explanations on using software tools to swiftly access crucial technological information for gaining a competitive edge (Research Technology Management, 2005).
Book Details
INFORMATION
ISBN: 9780471475675
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 23 November 2004
Country: United States
Imprint: Wiley-Interscience
Illustration: Photos: 4 B&W, 0 Color; Drawings: 68 B&W, 0 Color
Audience: Professional and scholarly
DIMENSIONS
Spine width: 29.0mm
Width: 165.0mm
Height: 239.0mm
Weight: 728g
Pages: 408
About the Author
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.
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