SERG
About SERG
Organization
Statistics
Members
Research Lines
Computational Intelligence for Software Engineering
DevOps
Machine Learning for Software Engineering
Software Analytics
Software Engineering for Fintech
Software Quality
Software Reliability for Concurrent and Distributed Systems
Sustainable Software Engineering
Research
Projects
Publications
Tools
Education
Teaching
Thesis Projects
Events
Vacancies
Contact
Master Thesis for finding and communicating anomalies in NetFlow data using machine learning
Dion de Hoog
Date
May 18, 2021 15:00 — 17:00
Location
Online (Zoom)
Add this event to your calendar.
events
defenses
Related
Master Thesis Defense on Recommender Systems with Evolutionary Algorithms: Many-Objective Optimization for Large-Scale Music Recommendation
Master Thesis Defense on A Static-Based Approach to Detect SQL Semantic Bugs
Master Thesis Defense on TestAxis: Save Time Fixing Broken CI Builds Without Leaving Your IDE
Master Thesis Defense on using machine learning for predicting refactoring opportunities in industry code
Master Thesis Defense on EyeIDEA: Paving the Way Towards an Augmented Eye-Tracking IDE
Cite
×