Technology Mining, Gebunden
Technology Mining
- Text Analytics for Evidence-Based Foresight

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- Herausgeber:
- Henrique da Hora, Alan L. Porter, Denise Chiavetta, Yi Zhang
- Verlag:
- Springer-Verlag GmbH, 01/2026
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9783032108487
- Artikelnummer:
- 12487601
- Sonstiges:
- Approx. 250 p. 100 illus., 50 illus. in color.
- Erscheinungstermin:
- 24.1.2026
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
Tech mining is text-oriented analytics that supports decision-making in science, technology, and innovation (ST&I) policy and management in areas including competitive technical intelligence, R&D management, and research evaluation. Presenting selected papers from the 12th Global TechMining Conference (GTM2022), this book covers novel digital information sources such as optimization and integration of 360-degree view in science, economic, political, and social domains; processing methods that accelerate and optimize procedures involving human expertise, such as Delphi; and visualizations and other outputs such as data visualization to provide better communication of research findings.
Technology Mining : Text-Analytics for Evidence-Based Foresight is an essential guide for a cross-disciplinary network of ST&I policy analysts, software specialists, researchers, technology managers, and students to further advance and adopt textual information in multiple scientific, technology, and business development fields.
