Sökning: "abnormal behavior"

Visar resultat 16 - 20 av 117 uppsatser innehållade orden abnormal behavior.

  1. 16. Anomaly Detection in Log Files Using Machine Learning Techniques

    Magister-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Författare :Lakshmi Geethanjali Mandagondi; [2021]
    Nyckelord :Anomaly Detection; Log Files; Machine Learning; Clustering; Outlier Detection;

    Sammanfattning : Context: Log files are produced in most larger computer systems today which contain highly valuable information about the behavior of the system and thus they are consulted fairly often in order to analyze behavioral aspects of the system. Because of the very high number of log entries produced in some systems, it is however extremely difficult to seek out relevant information in these files. LÄS MER

  3. 17. Anomaly Detection in District Heating using a Clustering based approach

    Magister-uppsats,

    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

  4. 18. Anomaly detection for automated security log analysis : Comparison of existing techniques and tools

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Måns Fredriksson Franzén; Nils Tyrén; [2021]
    Nyckelord :Security; Log analysis; Anomaly detection; Machine learning; Clustering;

    Sammanfattning : Logging security-related events is becoming increasingly important for companies. Log messages can be used for surveillance of a system or to make an assessment of the dam- age caused in the event of, for example, an infringement. LÄS MER

  5. 19. Kan miljöberikning öka baktriska kamelers (camelus bactrianus) användning av sitt utomhushägn : en observationsstudie på Furuviksparken

    Kandidat-uppsats, SLU/Dept. of Animal Environment and Health

    Författare :Sara Morén; [2021]
    Nyckelord :baktrisk kamel; miljöberikning; Camelus bactrianus; djurpark; Furuviksparken; hägnutnyttjande; utomhushägn;

    Sammanfattning : The Bactrian camel is a desert animal especially adapted to the harsh environment it lives in. It is part of the Camelidae family and exists as a wild species (Camelus ferus) and as a domesticated species (Camelus bactrianus). LÄS MER

  7. 20. Forecasting Volume of Sales During the Abnormal Time Period of COVID-19. An Investigation on How to Forecast, Where the Classical ARIMA Family of Models Fail

    Master-uppsats, KTH/Matematisk statistik

    Författare :Christina Ghawi; [2021]
    Nyckelord :Time series forecasting; ARIMA family of models; abnormal time period; extreme events; COVID-19 pandemic; time series outliers;

    Sammanfattning : During the COVID-19 pandemic, customer shopping habits have changed. Some industries experienced an abrupt shift during the pandemic outbreak while others navigate in new normal states. For some merchants, the highly-uncertain new phenomena of COVID-19 expresses as outliers in time series of volume of sales. LÄS MER