Interactive Visualization of Correlations in High-Dimensional Streams: Unterschied zwischen den Versionen

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|vortragstyp=Proposal
 
|vortragstyp=Proposal
 
|betreuer=Edouard Fouché
 
|betreuer=Edouard Fouché
|termin=Institutsseminar/2018-10-19
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|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.
 
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Version vom 9. Oktober 2018, 21:36 Uhr

Vortragende(r) Yimin Zhang
Vortragstyp Proposal
Betreuer(in) Edouard Fouché
Termin Fr 26. Oktober 2018
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.