Bc. Tomáš Krutý
Bachelor's thesis
Ensembles for anomaly detection
Ensembles for anomaly detection
Abstract:
Táto práca prezentuje hlavné princípy ansámblových učiacich algoritmov a rešerš ansámblových metód pre detekciu anomálií od roku 2013. Ďalej práca uvádza niekoľko spôsobov, ako ansámblové metódy pre detekciu anomálií vytvárať na základe metód local outlier factor a class outlier: distance-based a tiež ich implementáciu v programovacom jazyku R. Na záver práca vyhodnotí vybrané ansámblové metódy pre …moreAbstract:
This thesis presents the main principles of ensemble learning and research of previous work done on the subject of ensemble methods for anomaly detection. Next the thesis presents various ways to create ensemble methods for anomaly detection using the local outlier factor and class outlier: distance-based methods as base learners for these ensembles and provides implementation of selected ensembles …more
Language used: English
Date on which the thesis was submitted / produced: 28. 5. 2018
Identifier:
https://is.muni.cz/th/jy4vf/
Thesis defence
- Date of defence: 25. 6. 2018
- Supervisor: doc. RNDr. Lubomír Popelínský, Ph.D.
- Reader: Mgr. Veronika Krejčířová
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsBachelor programme / field:
Informatics / Mathematical Informatics
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