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Data Mining and Knowledge Discovery (IN2030)

Course 240967808 in WS 2013/4

General Data

Course Type lecture
Semester Weekly Hours 2 SWS
Organisational Unit Informatics 7 - Chair of Theoretical Computer Science (Prof. Esparza)
Lecturers
Dates

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks - Data sources, characteristics, and errors - Pre-processing and filtering - Data visualization - Projections (pricipal component analysis, multidimensional scaling, SOM) - Data transformations and feature generation - Correlation and regression
Links Course documents
E-Learning course (e. g. Moodle)
Additional information
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
WS 2023/4 Data Mining and Knowledge Discovery (IN2030) Runkler, T. Mon, 08:30–10:00, virtuell
WS 2022/3 Data Mining and Knowledge Discovery (IN2030) Runkler, T. Mon, 08:30–10:00, virtuell
WS 2021/2 Data Mining and Knowledge Discovery (IN2030) Runkler, T. Mon, 08:30–10:00, virtuell
WS 2020/1 Data Mining and Knowledge Discovery (IN2030) Runkler, T. Mon, 08:30–10:00, virtuell
WS 2019/20 Data Mining and Knowledge Discovery (IN2030) Runkler, T. Mon, 08:30–10:00, Interims I 102
WS 2018/9 Data Mining and Knowledge Discovery (IN2030) Runkler, T. Mon, 08:30–10:00, Interims I 102
WS 2017/8 Data Mining and Knowledge Discovery (IN2030) Runkler, T. Mon, 08:30–10:00, PH HS1
WS 2016/7 Data Mining and Knowledge Discovery (IN2030) Runkler, T. Mon, 08:30–10:00, PH HS1
WS 2015/6 Data Mining and Knowledge Discovery (IN2030) Mon, 08:30–10:00, PH HS1
WS 2014/5 Data Mining and Knowledge Discovery (IN2030) Mon, 08:30–10:00, PH HS1
WS 2012/3 Data Mining and Knowledge Discovery (IN2030)
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