Knowledge Discovery from Databases
| Kód | Zakončení | Kredity | Rozsah | Jazyk výuky |
|---|---|---|---|---|
| MIE-KDD | Z,ZK | 4 | 2+1 |
- Přednášející:
- Cvičící:
- Předmět zajišťuje:
- katedra softwarového inženýrství
- Anotace:
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Students will learn to solve the problems of data mining in a complex way, starting from preprocessing of raw data to presentation of mined knowledge and deployment of data mining solutions in a company. They will get skills to apply their knowledge of data mining to solve various problems. Furthermore, they will acquaint with the GUHA method and observational calculi.
- Požadavky:
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Data preprocessing for data mining, pattern recognition, computational intelligence methods.
- Osnova přednášek:
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1. KDD (Knowledge Discovery from Databases), CRISP-DM.
2. Self organizing data mining.
3. GUHA Method.
4. The LISp-Miner system.
5. Observational calculi.
6. Applications of selected methods of knowledge engineering in KDD.
7. Presentations of companies and institutions describing their use and handling of knowledge.
- Osnova cvičení:
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1. Individual projects.
- Cíle studia:
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The aim of this module is to bring together and to systematize the knowledge and skills received in specialization-specific knowledge engineering modules, as well as to demonstrate its use on real-world problems.
- Studijní materiály:
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1. Lemke, F., Müller, J. A. ''Self Organising Data Mining''. Books on Demand, 2000. ISBN 3898118614.
2. Hajek, P., Havranek, T. ''Mechanizing hypothesis formation: Mathematical foundations for a general theory''. Springer-Verlag, 1978. ISBN 0387087389.
3. J. Rauch: Logic of Association Rules. Applied Intelligence 22 (2005), pp. 9 28
4. J. Rauch: Classes of Association Rules - an Overview. In T. Lin et al. (Eds.): Datamining: Foundations and Practice. Springer 2008, Studies in Computational Intelligence, Volume 118. pp. 283297.
5. Sborníky konferencí z oblasti KDD, zejména ECML/PKDD, ICDM, PAKDD.
- Poznámka:
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Rozsah=prednasky+proseminare+cviceni2p+1c, Prednasejici: doc. RNDr. Jan Rauch CSc.
- Rozvrh na zimní semestr 2011/2012:
- Rozvrh není připraven
- Rozvrh na letní semestr 2011/2012:
- Rozvrh není připraven
- Předmět je součástí následujících studijních plánů: