SKANSI, Sandro. Introduction to Deep Learning. Cham: Springer, 2018. ISBN978-3-319-73003-5 .
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 .
Knowledge discovery from data
| Language of instruction | angličtina |
|---|---|
| Code | 157-9581 |
| Abbreviation | VZe |
| Course title | Knowledge discovery from data |
| Coordinating department | Department of Systems Engineering and Informatics |
| Course coordinator | doc. Dr. Ing. Miroslav Hudec |
Summary
The aim of the course is to understand and master the main approaches and methods for knowledge discovery from the heterogeneous data and interpreting knowledge in the understandable way for diverse domain experts’ categories. The lectures provide a theoretical basis for understanding knowledge discovery, whereas the seminars provide space for demonstrating tasks, examining various cases and discussion.
Literature
Advised literature
EBOCH, M. M. Data mining. New York, Greenhaven Publishing. 2018. ISBN 781534501966.
HAN, Jiawei. Data mining: concepts and techniques. Haryana, India: Elsevier, 2012.
BERKA, Petr. Dobývání znalostí z databází. Praha: Academia, 2003. ISBN 80-200-1062-9.
HAN, Jiawei. Data mining: concepts and techniques. Haryana, India: Elsevier, 2012.
BERKA, Petr. Dobývání znalostí z databází. Praha: Academia, 2003. ISBN 80-200-1062-9.