392163 Datamining II (V) (SoSe 2004)
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Datamining beschäftigt sich mit Verfahren zur Entdeckung von Mustern in
meist großen und hochdimensionalen Daten. Im Rahmen dieser Anschlussvorlesung zur
Veranstaltung Datamining I werden folgende Themen behandelt: Robuste
Statistik, Verfahren zur Dichteschätzung und Dimensionsanalyse,
Supportvektor-Netze, Independent Component Analysis (ICA),
Klassifikationsbäume, Kernel Methoden, die Verwendungmöglichkeiten neuronaler Netze im Datamining.
Ein weiterer Fokus wird auf interaktive Explorationsverfahren gelegt,
(einschließlich interaktiver Sonifikation). Desweiteren werden die
Anwendungsfelder Textmining und Zeitserienanalyse mit praktischen Bezügen
behandelt, sowie verschiedene Datamining-Werkzeuge vorgestellt.
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Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Do | 8:30-10:00 | Unpublished | 19.04.-30.07.2004 |
Subject assignments
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Naturwissenschaftliche Informatik / Diplom | (Enrollment until SoSe 2004) | BioI; ME; NNet | HS |
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- Registered number: 9
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- Last update basic details/teaching staff:
- Friday, December 11, 2015
- Last update times:
- Wednesday, March 24, 2004
- Last update rooms:
- Wednesday, April 21, 2004
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 2
- Department
- Faculty of Technology
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