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Mining Massive Datasets (IN2323)

Course 0000002444 in SS 2018

General Data

Course Type lecture with integrated exercises
Semester Weekly Hours 4 SWS
Organisational Unit Informatics 3 - Chair of database systems (Prof. Kemper)
Lecturers Stephan Günnemann
Aleksandar Bojchevski
Oleksandr Shchur
Dates Thu, 14:00–16:00, Interims I 101
Wed, 14:30–16:00, Interims I 101
and 4 singular or moved dates

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 1. Introduction * Machine Learning, Data Mining and Knowledge Discovery Process * Applications, Tasks 2. High-Dimensional Data * Hashing & Sketches - Min-Hashing - Locality Sensitive Hashing * Dimensionality Reduction & Matrix Factorization - Feature Selection & Random Projections - Non-Negative Matrix Factorization and Extensions 3. Graphs / Networks * Laws, Patterns and Generators * Spectral Learning - Ranking (e.g., PageRank, HITS) - Community Detection * Probabilistic Models - Stochastic Blockmodel (SBM) - (Stochastic) Variational Inference - Belief Propagation * Representation Learning for Graphs - Deep Learning for Graph Data - (Unsupervised) Node Embeddings 4. Temporal Data & Streaming * Sampling & Sketches - Bloom Filter - Counting Distinct Elements - Estimating moments * Kalman Filter
Links Course documents
E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SS 2020 Machine Learning for Graphs and Sequential Data (IN2323) Charpentier, B. Günnemann, S. Lienen, M. Shchur, O. Zügner, D. Thu, 14:00–16:00, virtuell
Wed, 14:00–16:00, virtuell
SS 2019 Mining Massive Datasets (IN2323) Günnemann, S.
Assistants: Bojchevski, A.Shchur, O.
Wed, 14:00–16:00, Interims I 101
Thu, 14:00–16:00, Interims I 101
WS 2016/7 Mining Massive Datasets (IN2323) Bojchevski, A. Günnemann, S.
WS 2015/6 Mining Massive Datasets (IN2323)
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