Information sheet ECTS Syllabus
Course syllabus I1-DM - Data mining (FCE - WS 2020/2021)
|University:||Slovak University of Technology in Bratislava|
|Course unit code:|
Course unit title:
Mode of delivery, planned learning activities and teaching methods:
|Recommended semester/trimester:||Mathematical and Computational Modeling - master (semi-compulsory), 3. semester|
|Level of study:|
Prerequisites for registration:
successful elaboration of given tasks, minimum 56 points at exam
Learning outcomes of the course unit:
Data mining is the computational process of discovering patterns in large data
sets. It is used on universities as well as in practice (marketing, business,
medicine, large data warehouses management ...) and it utilizes the methods of
statistics, machine learning and artificial intelligence to solve real world
problems. A student will get an overview of fundamental techniques, from
theoretical background to typical applications. Upon completion he will be
able to find a solution of many real world problems by means of the open
source software environment - R.
|- Cluster analysis (hierarchical clustering, k-means algorithm).
- Networks analysis.
- Classification and regression (logistic regression, linear discriminant
analysis, nearest neighbor method, naive Bayes classifier, support vector
machines, decision trees, neural networks).
- Ensemble methods (random forests, AdaBoost, stacking, GBM).
- Anomalies detection.
- Recommender systems.
- Data mining of texts, images, audio files, web, spatial and time series.
- Big data analysis.
- Visualization techniques.
|Recommended or required reading:|
|Language of instruction:|
slovak or english
|Assessed students in total: 6|
Name of lecturer(s):
|doc. Ing. Tomáš Bacigál, PhD. (examiner, instructor, lecturer, tutor) - slovak, english |
prof. RNDr. Karol Mikula, DrSc. (person responsible for course)
Mgr. Miroslav Sabo, PhD. (instructor) - slovak
|4. 6. 2019|
|prof. RNDr. Karol Mikula, DrSc. and programme supervisor|
Last modification made by Ing. Peter Korčák on 06/04/2019.