ML-based classification of problems occurring on SAP supported DB, OS and cloud platforms
- Anomaly Detection is a very acute technical problem among various business enterprises. In this thesis a combination of the Growing Neural Gas and the Generalized Matrix Learning Vector Quantization is presented as a solution based on collected theoretical and practical knowledge. The whole network is described and implemented along with references and experimental results. The proposed model is carefully documented and all the further open researching questions are stated for future investigations.
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| Author: | Evgeniya Nemchinova |
|---|---|
| Advisor: | Thomas Villmann, Maximilian Schmidtke |
| Document Type: | Master's Thesis |
| Language: | English |
| Year of Completion: | 2020 |
| Granting Institution: | Hochschule Mittweida |
| Release Date: | 2023/03/30 |
| GND Keyword: | Neuronales Netz; Algorithmus; Künstliche Intelligenz |
| Institutes: | Angewandte Computer‐ und Biowissenschaften |
| DDC classes: | 005.1 Programmierung |
| Open Access: | Innerhalb der Hochschule |
| Licence (German): |  Urheberrechtlich geschützt |
