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Mining Massive Datasets (IN2323)

Course 0000001523 in WS 2015/6

General Data

Course Type Lecture w/ Exercise
Semester Weekly Hours 4 SWS
Organisational Unit Informatics 3 - Chair of database systems (Prof. Kemper)
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 • Overview: Data Mining and Knowledge Discovery Process, Machine Learning • Systems for processing/analyzing large datasets • Large-scale mining/learning, distributed optimization • Clustering, Nearest-Neighbor Search • Locality Sensitive Hashing, Sketches • Dimensionality reduction • Mining graph and network data • Mining temporal data • Applications (e.g. fraud detection, recommendation, community detection)
Links Course documents
E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
SS 2020 Machine Learning for Graphs and Sequential Data (IN2323) Charpentier, B. Günnemann, S. Lienen, M. Shchur, O. Zügner, D. Wed, 14:00–16:00, virtuell
Thu, 14:00–16:00, virtuell
SS 2019 Mining Massive Datasets (IN2323) Günnemann, S.
Assistants: Bojchevski, A.Shchur, O.
Thu, 14:00–16:00, Interims I 101
Wed, 14:00–16:00, Interims I 101
SS 2018 Mining Massive Datasets (IN2323) Günnemann, S.
Assistants: Bojchevski, A.Shchur, O.
Thu, 14:00–16:00, Interims I 101
Wed, 14:30–16:00, Interims I 101
and singular or moved dates
WS 2016/7 Mining Massive Datasets (IN2323) Bojchevski, A. Günnemann, S.
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