Integrating big data with KNIME as an alternative without programming code: an application to the PATSTAT patent database

Accessing massive datasets can be challenging for users unfamiliar with programming codes. Combining Konstanz Information Miner (KNIME) and MySQL tools on standard configuration equipment allows for addressing this issue. This research proposal aims to present a methodology that describes the necess...

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Vydané v:	Journal of geographical systems Ročník 27; číslo 1; s. 31 - 61
Hlavní autori:	Taques, Fernando H., Chasco, Coro, Taques, Flávio H.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2025 Springer Nature B.V
Predmet:	Artificial intelligence Big Data Climate change Comparative analysis Computer Appl. in Social and Behavioral Sciences Configurations Data analysis Data base management systems Data science Datasets Econometrics Economics Economics and Finance Geographical Information Systems/Cartography Innovations Landscape/Regional and Urban Planning Machine learning Massive data points Original Article Patent applications Regional/Spatial Science Reproducibility Social responsibility Software Structured Query Language-SQL Trends Urban Economics C88 PATSTAT EPO MySQL Patent Big data C80 KNIME O30
ISSN:	1435-5930, 1435-5949
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