Essays about: "CTGAN"

Found 4 essays containing the word CTGAN.

  1. 1. Improving Missing Data Imputation using Generative Adversarial Network-based Methods

    University essay from Lunds universitet/Matematisk statistik

    Author : Hanna Anderberg; Sofia Wadell; [2023]
    Keywords : Missing Values; Data Imputation; Generative Adversarial Network; GAIN; CTGAN; Mathematics and Statistics;

    Abstract : In a modern context, organizations increasingly rely on data analysis and the importance of data quality have accordingly become even more crucial. In this context, missing values pose a significant challenge compromising the utility of the data. READ MORE

  2. 2. Privacy-aware data generation : Using generative adversarial networks and differential privacy

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Felix Hübinette; [2022]
    Keywords : GANS; DP; generative adversarial networks; differential privacy; data generation; privacy; security;

    Abstract : Today we are surrounded by IOT devices that constantly generate different kinds of data about its environment and its users. Much of this data could be useful for different research purposes and development, but a lot of this collected data is privacy-sensitive for the individual person. READ MORE

  3. 3. Synthetic Data Generation for the Financial Industry Using Generative Adversarial Networks

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

    Author : Mikael Ljung; [2021]
    Keywords : Deep Learning; Generative Models; GAN; CTGAN; Synthetic Data; Financial Industry; Djupinlärning; generativ modellering; GAN; CTGAN; Syntetisk Data; Finansindustrin;

    Abstract : Following the introduction of new laws and regulations to ensure data protection in GDPR and PIPEDA, interests in technologies to protect data privacy have increased. A promising research trajectory in this area is found in Generative Adversarial Networks (GAN), an architecture trained to produce data that reflects the statistical properties of its underlying dataset without compromising the integrity of the data subjects. READ MORE

  4. 4. Synthesis of Tabular Financial Data using Generative Adversarial Networks

    University essay from KTH/Matematisk statistik

    Author : Anton Karlsson; Torbjörn Sjöberg; [2020]
    Keywords : Generative Adversarial Networks; GAN; Generative Modeling; Tabular data; Financial data; Machine Learning; Statistical learning; Applied Mathematics; GANs; Generativa modeller; Tabulär data; Finansdata; Maskininlärning; Statistisk inlärning; Tillämpad Matematik;

    Abstract : Digitalization has led to tons of available customer data and possibilities for data-driven innovation. However, the data needs to be handled carefully to protect the privacy of the customers. Generative Adversarial Networks (GANs) are a promising recent development in generative modeling. READ MORE