Automated Machine Learning of Customer-Specific Gaussian Mixture Models for Unsupervised Anomaly Detection

Liang, Yan

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Master Computer Science

The following thesis was written by a student in the 2020-2021 class of the Master Computer Science programme at Leiden University.

Thesis details

Title	Automated Machine Learning of Customer-Specific Gaussian Mixture Models for Unsupervised Anomaly Detection
Student	Liang, Yan
Programme	Master Computer Science
Year	2020-2021
Supervisors	Visser, prof.dr.ir. J.M.W. (Joost) Kowalczyk, dr. W.J. (Wojtek)
Thesis	Open Thesis PDF

Citation details

Liang, Yan, Automated Machine Learning of Customer-Specific Gaussian Mixture Models for Unsupervised Anomaly Detection, Thesis Master Computer Science, LIACS, Leiden University, 2021.