Sökning: "Clustered Log Data"

Hittade 5 uppsatser innehållade orden Clustered Log Data.

  1. 1. Supervised Failure Diagnosis of Clustered Logs from Microservice Tests

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Amanda Strömdahl; [2023]
    Nyckelord :Supervised Learning; Failure Diagnosis; Clustered Log Data; Random Forest; SVM; MLP; Övervakad inlärning; feldiagnos; klustrad logg-data; Random Forest; SVM; MLP;

    Sammanfattning : Pinpointing the source of a software failure based on log files can be a time consuming process. Automated log analysis tools are meant to streamline such processes, and can be used for tasks like failure diagnosis. This thesis evaluates three supervised models for failure diagnosis of clustered log data. LÄS MER

  3. 2. Data-driven persona development for a knowledge management system

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Annika Baldi; [2021]
    Nyckelord :Personas; data-driven persona development; k-means clustering; Persona Perception Scale;

    Sammanfattning : Generating personas based entirely on data has gained popularity. Personas describe characteristics of a user group in a human-like format. This project presents the persona creation process from raw data to evaluated personas for Zapiens’ knowledge management system. LÄS MER

  4. 3. Identifying New Fault Types Using Transformer Embeddings

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Mikael Karlsson; [2021]
    Nyckelord :Transformer Models; Clustering; Embeddings; Deep Learning; Fault Identification; Transformatorbaserade modeller; Klustering; Djupinlärning; Felidentifiering;

    Sammanfattning : Continuous integration/delivery and deployment consist of many automated tests, some of which may fail leading to faulty software. Similar faults may occur in different stages of the software production lifecycle and it is necessary to identify similar faults and cluster them into fault types in order to minimize troubleshooting time. LÄS MER

  5. 4. Exploration of 5G Traffic Models using Machine Learning

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Aron Gosch; [2020]
    Nyckelord :Big data;

    Sammanfattning : The Internet is a major communication tool that handles massive information exchanges, sees a rapidly increasing usage, and offers an increasingly wide variety of services.   In addition to these trends, the services themselves have highly varying quality of service (QoS), requirements and the network providers must take into account the frequent releases of new network standards like 5G. LÄS MER

  7. 5. Tail Dependence Considerations for Cross-Asset Portfolios

    Master-uppsats, KTH/Matematisk statistik

    Författare :Johanna Trost; [2016]
    Nyckelord :;

    Sammanfattning : Extreme events, heaviness of log return distribution tails and bivariate asymptotic dependence are important aspects of cross-asset tail risk hedging and diversification. These are in this thesis investigated with the help of threshold copulas, scalar tail dependence measures and bivariate Value-at-Risk. LÄS MER