Original title: Detekce anomálií v temporálních datech
Translated title: Anomaly Detection in Temporal Data
Authors: Ondria, Jozef ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
Document type: Master’s theses
Year: 2024
Language: slo
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Abstract: [slo] [eng]
Cieľom tejto práce je výber moderných techník a algoritmov pre detekciu anomálií v temporálnych dátach. Vybrané algoritmy je potrebné implementovať a následne experimentálne overiť a porovnať ich funkčnosť na vhodnej dátovej sade. This thesis aims to select modern techniques and algorithms for anomaly detection in temporal data. It is necessary to implement the selected algorithms and then experimentally verify and compare them on a suitable dataset.
Keywords: anomaly detection; data mining; knowledge discovery in databases; outlier detection; temporal data; time series

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/248932

Permalink: http://www.nusl.cz/ntk/nusl-617758


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Master’s theses