Sökning: "log classification"
Visar resultat 1 - 5 av 46 uppsatser innehållade orden log classification.
1. Violin Artist Identification by Analyzing Raga-vistaram Audio
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the inception of music streaming and media content delivery platforms, there has been a tremendous increase in the music available on the internet and the metadata associated with it. In this study, we address the problem of violin artist identification, which tries to classify the performing artist based on the learned features. LÄS MER
2. ML enhanced interpretation of failed test result
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. LÄS MER
3. Secure log-management for an Apache Kafka-based data-streaming service
Uppsats för yrkesexamina på grundnivå, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : This thesis aims to investigate the prospect of using Apache Kafka to manage data streams based on secrecy/classification level and separate these data streams in order to meet the requirement set by the secrecy/classification levels. Basalt AB has the responsibility of managing classified data for private and state actors, including the Swedish Armed Forces and other organizations. LÄS MER
4. System Integration and Verification Verdict Automation using Machine Learning
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Context: The volume of log files is massive as they contain vital information about the application’s behavior; they map out broad parts of the application, allowing us to understand how every component behaves, whether normally or abnormally. As a result, it is critical to examine the log files to see if the system is deviating from its usual path. LÄS MER
5. Detection of software incidents from large log material with the use of unsupervised machine learning
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Computer systems generate log files, which contain information on the various operations performed by these systems. This information can support the process of error/failure detection and debugging. Therefore, anomalies can be spotted in the system through its produced log material. LÄS MER