Advanced search

Found 3 essays matching the above criteria.

  1. 1. 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

  3. 2. 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

  4. 3. Corporate Social Networks within the Financial Sector : A tool to enhance unity and knowledge sharing

    University essay from KTH/Industriell ekonomi och organisation (Avd.); KTH/Skolan för datavetenskap och kommunikation (CSC); KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Simon Janghede; David Bradka; [2013]
    Keywords : corporate social networks; enterprise social networks; platforms; financial sector; financial business; financial services; insurance; reinsurance; knowledge sharing; social; knowledge management; knowledge management systems; information spreading; system evaluation; företagsbaserade sociala nätverk; företagsinriktade sociala nätverk; plattformar; finansbranchen; finansiella sectorn; försäkring; återförsäkring; kunskapsspridning; kunskapsdelning; social; kunskapshantering; kunskapshanteringssystem; informationsspridning; systemutvärdering;

    Abstract : This study has been conducted with Sirius International as a case company. The investigation has revolved around the weaknesses Sirius, along with the authors, have identified concerning the international collaboration and communication. READ MORE