Proceedings of the 5th Global TechMining Conference (Atlanta, USA)

2015.

Научный редактор: A. Porter, D. Chiavetta

Tech Mining, a special form of “Big Data” analytics, aims to generate Competitive Technical Intelligence (CTI)  using bibliometric and text-mining software (e.g., VantagePoint, TDA) as well as other analytical & visualization applications for analyses of Science, Technology & Innovation (ST&I) information resources. The goal of the conference is to ENGAGE cross-disciplinary networks of analysts, software specialists, researchers, policymakers, and managers toADVANCE the use of textual information in multiple science, technology, and business development fields. The conference program will address key CHALLENGES in:

Data

• Sourcing, preparing, and interpreting data sources including patents, publications, webscraping, and other novel data sources

Text-mining tools and methods

• Best practices in software-based topic modeling, clumping, association rules, term manipulation, text manipulation, etc.
• Visualization

Applied research

• Future-Oriented Technology Analysis (FTA)
• Intelligence gathering to support decision-making in the private sector (e.g., Management of Technology)

This conference is intended for researchers and students across multiple fields, especially Scientometrics, Public Policy, Management of Technology and Information Science.

Главы книги

Technology mining for emerging S&T trends and developments: Dynamic term clustering and semantic analysis

Бахтин П. Д., Саритас О., , in: Proceedings of the 5th Global TechMining Conference (Atlanta, USA).: [б.и.], 2015.

In the world of rapidly developing Science and Technology (S&T), with increasing volumes of S&T-related data and greater interdisciplinary and collaborative research, technology mining (TM) helps to acquire intelligence about emerging trends and future S&T developments. The task is becoming crucial not only for high-tech startups and large organizations, but also for venture capitalists and ...

Добавлено: 12 октября 2015 г.

Ключевые слова: foresight, innovation management, data mining, scientometrics, Bibliometrics, text mining, topic modeling, future-oriented technology analysis, Technology mining and patent analysis, bibliometric analysis, patent analysis, decision-making support, Management of Technology, science policy, technology policy, technology mining