Essays about: "Syntetisk Datagenerering"

Found 5 essays containing the words Syntetisk Datagenerering.

  1. 1. Multivariate Time Series Data Generation using Generative Adversarial Networks : Generating Realistic Sensor Time Series Data of Vehicles with an Abnormal Behaviour using TimeGAN

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

    Author : Sofia Nord; [2021]
    Keywords : Time Series Data Generation; Generative Adversarial Network; Deep Neural Network; Data Augmentation; Synthetic Data Generation; Generering av Tidsseriedata; Generativa Motstridande Nätverk; Djupa Neurala Nätverk; Dataökning; Syntetisk Datagenerering;

    Abstract : Large datasets are a crucial requirement to achieve high performance, accuracy, and generalisation for any machine learning task, such as prediction or anomaly detection, However, it is not uncommon for datasets to be small or imbalanced since gathering data can be difficult, time-consuming, and expensive. In the task of collecting vehicle sensor time series data, in particular when the vehicle has an abnormal behaviour, these struggles are present and may hinder the automotive industry in its development. READ MORE

  2. 2. Synthetic Data Generation for Anonymization

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

    Author : Niklas Reje; [2020]
    Keywords : ;

    Abstract : Because of regulations but also from a need to find willing participants for surveys, any released data needs to have some sort of privacy preservation. Privacy preservation, however, always requires some sort of reduction of the utility of the data, how much can vary with the method. READ MORE

  3. 3. Generation of Synthetic Data with Generative Adversarial Networks

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

    Author : Douglas Garcia Torres; [2018]
    Keywords : Synthetic Data Generation; Generative Adversarial Networks; Machine Learning; Deep Learning; Neural Networks; Syntetisk Datagenerering; Generativa Adversariella Nätverk; Maskin-lärande; Djupt Lärande; Neurala Nätverk.;

    Abstract : The aim of synthetic data generation is to provide data that is not real for cases where the use of real data is somehow limited. For example, when there is a need for larger volumes of data, when the data is sensitive to use, or simply when it is hard to get access to the real data. READ MORE

  4. 4. Utility of Differentially Private Synthetic Data Generation for High-Dimensional Databases

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

    Author : Daan Knoors; [2018]
    Keywords : ;

    Abstract : When processing data that contains sensitive information, careful consideration is required with regard to privacy-preservation to prevent disclosure of confidential information. Privacy engineering enables one to extract valuable patterns, safely, without compromising anyone’s privacy. READ MORE

  5. 5. Utility of Differentially Private Synthetic Data Generation for High-Dimensional Databases

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

    Author : Daan Josephus Knoors; [2018]
    Keywords : ;

    Abstract : When processing data that contains sensitive information, careful consideration is required with regard to privacy-preservation to prevent disclosure of confidential information. Privacy engineering enables one to extract valuable patterns, safely, without compromising anyone’s privacy. READ MORE