Nazemi, Kawa ; Retz, Reimond ; Burkhardt, Dirk ; Kuijper, Arjan ; Kohlhammer, Jörn ; Fellner, Dieter W. (2015)
Visual Trend Analysis with Digital Libraries.
i-KNOW 2015. Graz (21. und 22. Oktober 2015)
doi: 10.1145/2809563.2809569
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The early awareness of new technologies and upcoming trends is essential for making strategic decisions in enterprises and research. Trends may signal that technologies or related topics might be of great interest in the future or obsolete for future directions. The identification of such trends premises analytical skills that can be supported through trend mining and visual analytics. Thus the earliest trends or signals commonly appear in science, the investigation of digital libraries in this context is inevitable. However, digital libraries do not provide sufficient information for analyzing trends. It is necessary to integrate data, extract information from the integrated data and provide effective interactive visual analysis tools. We introduce in this paper a model that investigates all stages from data integration to interactive visualization for identifying trends and analyzing the market situation through our visual trend analysis environment. Our approach improves the visual analysis of trends by investigating the entire transformation steps from raw and structured data to visual representations.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2015 |
| Autor(en): | Nazemi, Kawa ; Retz, Reimond ; Burkhardt, Dirk ; Kuijper, Arjan ; Kohlhammer, Jörn ; Fellner, Dieter W. |
| Art des Eintrags: | Bibliographie |
| Titel: | Visual Trend Analysis with Digital Libraries |
| Sprache: | Englisch |
| Publikationsjahr: | Oktober 2015 |
| Verlag: | ACM, New York |
| Reihe: | ACM International Conference Proceedings Series; 1098 |
| Veranstaltungstitel: | i-KNOW 2015 |
| Veranstaltungsort: | Graz |
| Veranstaltungsdatum: | 21. und 22. Oktober 2015 |
| DOI: | 10.1145/2809563.2809569 |
| Kurzbeschreibung (Abstract): | The early awareness of new technologies and upcoming trends is essential for making strategic decisions in enterprises and research. Trends may signal that technologies or related topics might be of great interest in the future or obsolete for future directions. The identification of such trends premises analytical skills that can be supported through trend mining and visual analytics. Thus the earliest trends or signals commonly appear in science, the investigation of digital libraries in this context is inevitable. However, digital libraries do not provide sufficient information for analyzing trends. It is necessary to integrate data, extract information from the integrated data and provide effective interactive visual analysis tools. We introduce in this paper a model that investigates all stages from data integration to interactive visualization for identifying trends and analyzing the market situation through our visual trend analysis environment. Our approach improves the visual analysis of trends by investigating the entire transformation steps from raw and structured data to visual representations. |
| Freie Schlagworte: | Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Visual analytics, Information visualization, Data integration, Data mining, Trend analysis, Information extraction |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 08 Mai 2019 08:07 |
| Letzte Änderung: | 04 Feb 2022 12:39 |
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