Sökning: "time series outliers"

Visar resultat 6 - 10 av 26 uppsatser innehållade orden time series outliers.

  1. 6. Building High-performing Web Rendering of Large Data Sets

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :William Burwall; [2023]
    Nyckelord :Plot; Trajectory plot; Downsampling; Data set; Interactive visualization; Hardware acceleration; Web rendering; WebGL; D3FC; Apache Arrow;

    Sammanfattning : Interactive visualization is an essential tool for data analysis. Cloud-based data analysis software must handle growing data sets without relying on powerful end-user hardware. This thesis explores and tests various methods to speed up primarily time series plots of large data sets on the web for the biotechnology research company Sartorius. LÄS MER

  3. 7. Evaluating the use of Brush and Tooltip for Time Series visualizations: A comparative study

    Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :André Eklund; Sebastian Helin; [2023]
    Nyckelord :Time series visualisations; time series visualizations; Tooltip; Brush; Graphical Perception; Estimation Time; Accuracy; Line chart; Bar chart; Time series;

    Sammanfattning : This study uses a combination of user testing and analysis to evaluate the impact of brush and tooltip on the comprehension of time series visualizations. Employing a sequential mixed-methods approach, with qualitative data from semi-structured interviews used to inform the design of a visualization tool, followed by a quantitative user study to validate it. LÄS MER

  4. 8. Analysis of Electricity Usage Time Series with K-means Clustering

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Elektricitetslära

    Författare :Göran Iliev; [2022]
    Nyckelord :electricty usage; office; residential; time series; clustering;

    Sammanfattning : As the amount of collected and analysed data for electricity usage from buildings is increasing it becomes an important component in energy efficiency efforts. A huge problem when developing algorithms fordetection of anomalous electricity usage series is the lack of data setswith annotated normal usage series for training and evaluation purposes. LÄS MER

  5. 9. Automated Outlier Detection for Credit Risk KPI Time Series in E-commerce : A Case Study on the Business Value and Obstacles of Automated Outlier Detection

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Jennifer Lindberg; [2022]
    Nyckelord :Credit Risk Management; Underwriting; Automation; Outlier Detection; KPI; Monitoring; Kresditriskhantering; underwriting; automatisering; outlier detection; KPI; monitorering;

    Sammanfattning : E-commerce has grown significantly the last decade, and made a considerable leap during Covid19. The final step in e-commerce is payments, and as a result of this, credit risk management in real-time has become increasingly important. LÄS MER

  7. 10. Short-term electricity consumption forecasting using deep learning and external variables

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

    Författare :Nils Widmark; [2022]
    Nyckelord :;

    Sammanfattning : Maintaining the electricity balance in the Swedish national power grid is a continuous challenge for both Svenska kraftnät and electricity suppliers. If an unbalance occurs it can damage or even destroy equipment and lead to power outages. LÄS MER