Data mining
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 157-0386/02 |
| Abbreviation | DM |
| Course title | Data mining |
| Credits | 5 |
| Coordinating department | Department of Systems Engineering and Informatics |
| Course coordinator | doc. dr hab. Maria Antonina Mach-Król |
Subject syllabus
1. Introduction (definition of data mining, relation to the other scientific disciplines, clarification of the basic concepts).
2. Data, data transformation, normalization, distance measures, similarity measures, etc.
3. Data mining (general): data mining processes (SEMMA, CRISP-DM, etc.), data mining tasks.
4. Association rules 1
5. Association rules 2
6. Classification 1
7. Classification 2
8. Clustering 1
9. Clustering 2
10. Detection of outliers
11. Text mining, sentiment analysis
12. Environment of software tools and languages
13. Future trends in data mining
2. Data, data transformation, normalization, distance measures, similarity measures, etc.
3. Data mining (general): data mining processes (SEMMA, CRISP-DM, etc.), data mining tasks.
4. Association rules 1
5. Association rules 2
6. Classification 1
7. Classification 2
8. Clustering 1
9. Clustering 2
10. Detection of outliers
11. Text mining, sentiment analysis
12. Environment of software tools and languages
13. Future trends in data mining
E-learning
Students have all relevant presentations from lectures and instructions in LMS Moodle
Literature
BRAMER, Max. Principles of data mining. London: Springer-Verlag, 2020. ISBN: 978-1-4471-7492-9.
LENDAVE Vijaysinh. Beginner's Guide to WEKA - A Tool for ML and Analytics. Delhi: Analztics India, 2023 - online podporní material.
HAN Jiawei, PEI Jian, TONG Hanghang. Data mining concepts and techniques 4th edition. Amsterdam: Elsevier, 2023. ISBN: 8131267660 .
LENDAVE Vijaysinh. Beginner's Guide to WEKA - A Tool for ML and Analytics. Delhi: Analztics India, 2023 - online podporní material.
HAN Jiawei, PEI Jian, TONG Hanghang. Data mining concepts and techniques 4th edition. Amsterdam: Elsevier, 2023. ISBN: 8131267660 .
Advised literature
KUMAR Jugnesh. Data Warehouse and Data Mining: Concepts, techniques and real life applications. Uttar Pradesh: PB Publications, 2023. ISBN: 9355517343 .
HUDEC, Miroslav. Fuzziness in Information Systems - How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization. Cham: Springer, 2016. ISBN 978-3-319-42516-0
AGGRAWAL, Charu. Data Mining: The Textbook. Cham: Springer, 2015. ISBN 978-3-319-14141-1 .
HUDEC, Miroslav. Fuzziness in Information Systems - How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization. Cham: Springer, 2016. ISBN 978-3-319-42516-0
AGGRAWAL, Charu. Data Mining: The Textbook. Cham: Springer, 2015. ISBN 978-3-319-14141-1 .