Sökning: "DBSCAN"

Visar resultat 1 - 5 av 43 uppsatser innehållade ordet DBSCAN.

  1. 1. Anomaly detection in 5G beam propagation

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Katarina Hellgren; Phiphi Tran; [2021]
    Nyckelord :Machine learning; wireless communication; 5G; beam propagation; DBSCAN; KNN; anomaly detection; clustering; Technology and Engineering;

    Sammanfattning : Advancements in today's technology has motivated invention of faster mobile communication systems. The fifth generation mobile network, 5G, is the latest version made by the third generation partnership project (3GPP) and expects to both increase connection speed and reduce latency, which eventually will make it applicable in supporting state-of-the art technologies such as virtual reality and self-driving vehicles among others. LÄS MER

  2. 2. Anomaly Detection in District Heating using a Clustering based approach


    Författare :Minh-Tung Nguyen; Metjan Baduni; [2021]
    Nyckelord :Anomaly Detection; Data Mining; Unsupervised Machine Learning; Clustering; DBSCAN; Time Series;

    Sammanfattning : The global demand for energy has increased in recent years. In Northern Europe and North America, centralized production and distribution of heat energy is commonly regarded as District Heating (DH). Efficient delivery of heat in the DH system is crucial not only for the building dwellers but even for companies that supply such energy. LÄS MER

  3. 3. Automating Log Analysis

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sri Sai Manoj Kommineni; Akhila Dindi; [2021]
    Nyckelord :Anomaly detection; Log analysis; Unsupervised learning;

    Sammanfattning : Background: With the advent of the information age, there are many large numbers of services rising which run on several clusters of computers.  Maintaining such large complex systems is a very difficult task. Developers use one tool which is common for almost all software systems, they are the console logs. LÄS MER

  4. 4. Anomaly Detection in Log Files Using Machine Learning

    M1-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Philip Björnerud; [2021]
    Nyckelord :Anomaly detection; Log files; Data representation; Machine learning; Clustering;

    Sammanfattning : Logs generated by the applications, devices, and servers contain information that can be used to determine the health of the system. Manual inspection of logs is important, for example during upgrades, to determine whether the upgrade and data migration were successful. LÄS MER

  5. 5. Anomaly detection in Network data with unsupervised learning methods

    Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :George Sarossy; [2021]
    Nyckelord :;

    Sammanfattning : Anomaly detection has become a crucial part of the protection of information and integrity. Due to the increase of cyber threats the demand for anomaly detection has grown for companies. Anomaly detection on time series data aims to detect unexpected behavior on the system. LÄS MER