Integrating big data with KNIME as an alternative without programming code: an application to the PATSTAT patent database
Gorde:
| Argitaratua izan da: | Journal of Geographical Systems vol. 27, no. 1 (Jan 2025), p. 31 |
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| Argitaratua: |
Springer Nature B.V.
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| Gaiak: | |
| Sarrera elektronikoa: | Citation/Abstract Full Text - PDF |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
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MARC
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| 024 | 7 | |a 10.1007/s10109-024-00445-0 |2 doi | |
| 035 | |a 3174603772 | ||
| 045 | 2 | |b d20250101 |b d20250131 | |
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| 245 | 1 | |a Integrating big data with KNIME as an alternative without programming code: an application to the PATSTAT patent database | |
| 260 | |b Springer Nature B.V. |c Jan 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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 necessary configuration steps in both tools and the required manipulation in KNIME to transmit the information to the MySQL environment for further processing in a database management system (DBMS). In addition, we propose a procedure so that the use of this point-and-click software in research work can gain in reproducibility and, therefore, in credibility in the scientific community. To achieve this, we will use a big database regarding patent applications as a reference, the PATSTAT Global 2023, provided by the European Patent Office (EPO). As well known, patent data can be a valuable source for understanding innovation dynamics and technological trends, whether for studies on companies, sectors, nations or even regions, at aggregated and disaggregated levels. | |
| 653 | |a Databases | ||
| 653 | |a Data base management systems | ||
| 653 | |a Big Data | ||
| 653 | |a Patent applications | ||
| 653 | |a Massive data points | ||
| 653 | |a Configurations | ||
| 653 | |a Tools | ||
| 653 | |a Innovations | ||
| 653 | |a Social responsibility | ||
| 653 | |a Machine learning | ||
| 653 | |a Software | ||
| 653 | |a Datasets | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Trends | ||
| 653 | |a Data analysis | ||
| 653 | |a Data science | ||
| 653 | |a Structured Query Language-SQL | ||
| 653 | |a Reproducibility | ||
| 653 | |a Climate change | ||
| 653 | |a Comparative analysis | ||
| 653 | |a Patents | ||
| 653 | |a Economic | ||
| 773 | 0 | |t Journal of Geographical Systems |g vol. 27, no. 1 (Jan 2025), p. 31 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3174603772/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3174603772/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |