| Allgemeine Angaben |
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| Seminar Data Mining (IN0013, IN4927) | | |
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 Allocations: 1 | |
| eLearning[Provide new moodle course in current semester] |
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| Angaben zur Abhaltung |
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This seminar provides an overview of descriptive and predictive data mining methods including classification, regression, clustering, software tools for data mining, scalable methods for big data analysis, etc. Details will be provided during the preliminary meeting on Friday, January 25th 2019. Visit the moodle (e-learning course) page for more information.
Important Dates:
Preliminary meeting: 25.01.2019; 15:00 to 16:00; room: 01.11.018
Kick-off: 11.04.2019; 13:00 - 15:00; room: 02.07.023
Workshop on scientific work and literature research: 17.04.2019, time: t.b.a;
Lecture dates (in block): 04-06.06.2019, from 9:00 to 18:00; room: 00.09.038 |
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Students have to submit a paper (min. 5 and max. 6 pages in IEEE format).
Additionally, students have to give an oral presentation (20min + discussion) during the lecture. Attendance is mandatory at all the lectures. |
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| Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende*r identifizieren. |
Note: Registration takes place in two steps:
*) Until February 13th, fill in the following form.
https://www5.in.tum.de/lehre/seminare/datamining/ss19/applicationForm
*) Between February 8th and February 13th register in the appropriate matching system
The students will be informed at the end of February about the results of the allocation! |
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| Zusatzinformationen |
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