392125 Datamining II (V) (SoSe 2006)
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Die Vorlesung bietet einen vertiefenden Anschluss an die Vorlesung Datamining I.
Datamining beschäftigt sich mit Verfahren zur Entdeckung von Mustern meist großer und hochdimensionaler 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. Desweiteren werden die Anwendungsfelder Textmining und Zeitserienanalyse mit praktischen Bezügen behandelt, sowie verschiedene Datamining-Werkzeuge vorgestellt.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Di | 8-10 | V2-213 | 03.04.-14.07.2006 |
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Subject assignments
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Bioinformatik und Genomforschung / Bachelor | (Enrollment until SoSe 2011) | Modul 10 | Wahlpflicht | 6. | 3 | unbenotet | |
| Naturwissenschaftliche Informatik / Diplom | (Enrollment until SoSe 2004) | ME; NNet; RT; MMK | HS | ||||
| Naturwissenschaftliche Informatik / Diplom | (Enrollment until SoSe 2004) | Biologie; Robotik; Physik; Chemie | HS |
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- Last update basic details/teaching staff:
- Friday, December 11, 2015
- Last update times:
- Tuesday, December 20, 2005
- Last update rooms:
- Monday, February 20, 2006
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 2
- Department
- Faculty of Technology
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