Scientometrics: how to perform a big data trend analysis with scienceminer
| dc.contributor.author | Frehe, Volker | |
| dc.contributor.author | Rugaitis, Vilius | |
| dc.contributor.author | Teuteberg, Frank | |
| dc.contributor.editor | Plödereder, E. | |
| dc.contributor.editor | Grunske, L. | |
| dc.contributor.editor | Schneider, E. | |
| dc.contributor.editor | Ull, D. | |
| dc.date.accessioned | 2017-07-26T10:58:47Z | |
| dc.date.available | 2017-07-26T10:58:47Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | This paper describes the results of the implementation of an application that was designed under the design science principles. The purpose of this application is to identify trends in science. First, the status quo of similar applications as well as the knowledge base about data mining in the field of scientometrics is analyzed. Afterwards, the implementation as well as the evaluation of our application is described. Our web-based application allows to search for contributions (literature and internet, e.g., twitter, news), executes several data mining methods and visualizes the results in seven different ways. Each visualization has some filters and further control elements. It is the first application to provide the complete process from data acquisition to data visualization in an automated way. | en |
| dc.identifier.isbn | 978-3-88579-626-8 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Informatik 2014 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-232 | |
| dc.title | Scientometrics: how to perform a big data trend analysis with scienceminer | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 1710 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 1699 | |
| gi.conference.date | 22.-26. September 2014 | |
| gi.conference.location | Stuttgart |
Dateien
Originalbündel
1 - 1 von 1