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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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Metadaten
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):License LogoUrheberrechtlich geschützt