Datamining
| Code | Completion | Credits | Range | Language |
|---|---|---|---|---|
| 14DMG | KZ | 2 | 0P+2C+10B | Czech |
- Course guarantor:
- Radek Holý
- Lecturer:
- Radek Holý
- Tutor:
- Radek Holý
- Supervisor:
- Department of Applied Informatics in Transportation
- Synopsis:
-
Types of data sources and knowledge, data warehouses and OLAP technology for data mining, data preprocessing in the process of knowledge acquisition systems for data mining, mining characteristics of concepts (classes), mining association rules from relational db. and data warehousing, classification (decisions tree, Bayesian cob., using neural networks). Prediction. Cluster analysis. Mining in complex structured data, multimedia dbf., www.
- Requirements:
-
database structure, database normalization, querying, SQL, data types, basic knowledge of information systems
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
-
Acquisition of knowledge in the following fields - knowledge acquisition from different data sources, procedure of knowledge acquisition from data, tools used at this process.
- Study materials:
-
Daniel T. Larose: Discovering Knowledge in Data: An Introduction to Data Mining, 2005, John Wiley & Sons, Inc., ISBN: 9780471
Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, 2006
Berka, P.: Dobývání znalostí z databází. Academia, 2003, 366 s., ISBN 80-200-1062-9.
- Note:
- Time-table for winter semester 2024/2025:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri - Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans: