392123 Datamining II (V) (SoSe 2015)
Contents, comment
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Das Modul bietet eine Vertiefung zu Methoden des Datamining und mathematischen Aspekten der Datenanalyse.
Konkrete Themen sind: einfache Klassifikatoren, ROC-Analyse, Klassifikationsbäume, Assoziationsregeln, ICA, Modellextraktion, Sequenz- und Zeitserienanalyse, Textmining
Requirements for participation, required level
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Kompetenzen, die beispielsweise in den Modulen 39-Inf-NN Grundlagen Neuronaler Netze und 39-Inf-10 Datenbanken erworben werden können.
Kompetenzen, wie sie im Modul 39-Inf-DM Grundlagen Dataming erworben werden können, sind für einen erfolgreichen Abschluss dieses Moduls notwendig.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Mi | 12-14 | X-E0-212 | 07.04.-17.07.2015 |
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Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-VDM Advanced Data Mining | Datamining II | Graded examination
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Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Naturwissenschaftliche Informatik / Diplom | (Enrollment until SoSe 2004) | ME | Teilleistung mündliche Prüfung möglich HS | ||||
| Naturwissenschaftliche Informatik / Diplom | (Enrollment until SoSe 2004) | BioI; Physik; Robotik; CM; NNet | Teilleistung mündliche Prüfung möglich HS |
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- SS2015_392123@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Friday, December 11, 2015
- Last update times:
- Monday, April 13, 2015
- Last update rooms:
- Monday, April 13, 2015
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 2
- Department
- Faculty of Technology
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