Sökning: "Logganalys"

Visar resultat 1 - 5 av 9 uppsatser innehållade ordet Logganalys.

  1. 1. Integrating Telecommunications-Specific Language Models into a Trouble Report Retrieval Approach

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

    Författare :Nathan Bosch; [2022]
    Nyckelord :information retrieval; neural ranking; trouble reports; log analysis; natural language processing; informationssökning; neural rangordning; felrapporter; logganalys; naturlig språkbehandling;

    Sammanfattning : In the development of large telecommunications systems, it is imperative to identify, report, analyze and, thereafter, resolve both software and hardware faults. This resolution process often relies on written trouble reports (TRs), that contain information about the observed fault and, after analysis, information about why the fault occurred and the decision to resolve the fault. LÄS MER

  3. 2. Discover patterns within train log data using unsupervised learning and network analysis

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

    Författare :Zehua Guo; [2022]
    Nyckelord :Log analysis; Natural language processing; Unsupervised learning; Clustering; Network analysis; Logganalys; Bearbetning av naturligt språk; Oövervakat lärande; Clustering; Nätverksanalys;

    Sammanfattning : With the development of information technology in recent years, log analysis has gradually become a hot research topic. However, manual log analysis requires specialized knowledge and is a time-consuming task. Therefore, more and more researchers are searching for ways to automate log analysis. LÄS MER

  4. 3. Classifying and Comparing Latent Space Representation of Unstructured Log Data.

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

    Författare :Bharat Sharma; [2021]
    Nyckelord :Machine learning; Natural language processing; Deep learning; Classification; Supervised learning; Transformer models; Sentence embeddings; Doc2Vec; Deep averaging networks.; Maskininlärning; naturligtspråkbehandling; djupinlärning; klassificering; övervakad inlärning; transformeringsmodeller; meningsinbäddningar; Doc2Vec; djupa linjärkombinerande nätverk.;

    Sammanfattning : This thesis explores and compares various methods for producing vector representation of unstructured log data. Ericsson wanted to investigate machine learning methods to analyze logs produced by their systems to reduce the cost and effort required for manual log analysis. LÄS MER

  5. 4. Undersökning och effektivisering av nyttjandegrad i mjukvarutestmiljö : En fallstudie vid Försäkringskassan IT

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Khaled Bseiso; [2021]
    Nyckelord :Test environment; Software testing; Degree of usage; Testmiljö; Programvarutestning; Nyttjandegrad;

    Sammanfattning : Background. Testing of a software system is a critical part of the software development process, as the need for efficient and high-quality software systems is of great importance. By using so-called test environments, the testing process can be automated and more effective, which in turn contributes to lower time and development costs. Objectives. LÄS MER

  7. 5. Anomalidetektering i loggar med förstärkt inlärning

    Kandidat-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Sofia Lantz; [2021]
    Nyckelord :Maskininlärning; Anomalidetektering; Förstärkt inlärning; Logganalys;

    Sammanfattning : By using machine learning to monitor and find deviations in log data makes it easier for developers and can prevent a workflow from stopping. The goal of this project is to investigate if it is possible to find anomalies in log data using reinforcement learning. LÄS MER