Essays about: "Time series segmentation"

Showing result 1 - 5 of 19 essays containing the words Time series segmentation.

  1. 1. An empirical study of the impact of data dimensionality on the performance of change point detection algorithms

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Léo Noharet; [2023]
    Keywords : Time series segmentation; Change point detection; Multivariate time series; Data dimensionality; Tidsserie-segmentering; Förändringspunkts detektering; Mulitvariabla tidsserier; Data dimentionalitet;

    Abstract : When a system is monitored over time, changes can be discovered in the time series of monitored variables. Change Point Detection (CPD) aims at finding the time point where a change occurs in the monitored system. READ MORE

  3. 2. Improving Change Point Detection Using Self-Supervised VAEs : A Study on Distance Metrics and Hyperparameters in Time Series Analysis

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Daniel Workinn; [2023]
    Keywords : Change point detection; Time series data; Segmentation; Machine learning; Data mining; Detektion av brytpunkter; Tidsseriedata; Segmentering; Maskininlärning; Datautvinning;

    Abstract : This thesis addresses the optimization of the Variational Autoencoder-based Change Point Detection (VAE-CP) approach in time series analysis, a vital component in data-driven decision making. We evaluate the impact of various distance metrics and hyperparameters on the model’s performance using a systematic exploration and robustness testing on diverse real-world datasets. READ MORE

  4. 3. Structure from Motion with a Neural Network

    University essay from Lunds universitet/Matematik LTH

    Author : Jiarong Gong; [2023]
    Keywords : Technology and Engineering;

    Abstract : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. READ MORE

  5. 4. Clustering of Unevenly Spaced Mixed Data Time Series

    University essay from KTH/Matematisk statistik

    Author : Pierre Sinander; Asik Ahmed; [2023]
    Keywords : mixed data time series; unevenly spaced time series; clustering; dynamic time warping; Gower dissimilarity; time warping regularisation; numeriska och kategoriska tidsserier; ojämnt fördelade tidsserier; kluster analys; dynamic time warping; Gower dissimilaritet; regularisering av tidsförvränging;

    Abstract : This thesis explores the feasibility of clustering mixed data and unevenly spaced time series for customer segmentation. The proposed method implements the Gower dissimilarity as the local distance function in dynamic time warping to calculate dissimilarities between mixed data time series. READ MORE

  6. 5. Time Series Analysis and Binary Classification in a Car-Sharing Service : Application of data-driven methods for analysing trends, seasonality, residuals and prediction of user demand

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Aksel Uhr; [2023]
    Keywords : Smart mobility; Car-sharing; Time series analysis; Demand prediction; Machine learning; Supervised learning; Binary classification; Random forest; Smart mobilitet; Bildelning; Tidsseriaanalys; Efterfrågansprediktering; Maskininlärning; Väglett lärande; Binär klassificering; Slumpmässiga skogar;

    Abstract : Researchers have estimated a 20-percentage point increase in the world’s population residing in urban areas between 2011 and 2050. The increase in denser cities results in opportunities and challenges. Two of the challenges concern sustainability and mobility. READ MORE