Interactive Visualization of Correlations in High-Dimensional Streams: Unterschied zwischen den Versionen
K (Uhelt@student.kit.edu verschob die Seite IPD-Institutsseminar:Interactive Visualization of Correlations in High-Dimensional Streams nach Interactive Visualization of Correlations in High-Dimensional Streams) |
Keine Bearbeitungszusammenfassung |
||
| Zeile 4: | Zeile 4: | ||
|vortragstyp=Proposal | |vortragstyp=Proposal | ||
|betreuer=Edouard Fouché | |betreuer=Edouard Fouché | ||
|termin=Institutsseminar/2018-10- | |termin=Institutsseminar/2018-10-26 | ||
|kurzfassung=One of the main challenges about data mining is to analyse the high-dimensional data streams. In this thesis, we would get a deep understanding of correlation analysis and become familiar with high-dimensional data streams. What´s more, we try to visualize these highly valuable data sets through a webservice and evaluate it. | |kurzfassung=One of the main challenges about data mining is to analyse the high-dimensional data streams. In this thesis, we would get a deep understanding of correlation analysis and become familiar with high-dimensional data streams. What´s more, we try to visualize these highly valuable data sets through a webservice and evaluate it. | ||
}} | }} | ||
Version vom 9. Oktober 2018, 22:36 Uhr
| Vortragende(r) | Yimin Zhang | |
|---|---|---|
| Vortragstyp | Proposal | |
| Betreuer(in) | Edouard Fouché | |
| Termin | Fr 26. Oktober 2018 | |
| Vortragsmodus | ||
| Kurzfassung | One of the main challenges about data mining is to analyse the high-dimensional data streams. In this thesis, we would get a deep understanding of correlation analysis and become familiar with high-dimensional data streams. What´s more, we try to visualize these highly valuable data sets through a webservice and evaluate it. | |