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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Technik Technik - Sonstiges

• Plný název: Technology Mining
• Autor: Alan L. Porter, Denise Chiavetta, Yi Zhang
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 232
• EAN: 9783032108487
• ISBN: 3032108489
• ID: 49819633
• Nakladatelství: Springer-Verlag GmbH
• Hmotnost: 536 g
• Datum vydání: 25. January 2026

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