Sökning: "data mining exception"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden data mining exception.

  1. 1. Rubberducking EU copyright law - Generative AI, machine learning and infringement

    Kandidat-uppsats, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakulteten

    Författare :Monika Trombitas Andersson; [2023]
    Nyckelord :Artificial intelligence; copyright law; EU-law; copyright infringement; data mining exception; Law and Political Science;

    Sammanfattning : Huruvida generativ AI utgör intrång i upphovsrättsinnehavarens ekonomiska rättigheter är en normativ fråga som, på grund av rättssäkerhetsprincipen som är en viktig del av rättsstatsprincipen borde kunna besvaras. Ändå verkar det inte finnas något entydigt svar. LÄS MER

  3. 2. DATA MINING IN PRACTICE : An application of the CRISP-DM framework in healthcare

    Magister-uppsats, Umeå universitet/Institutionen för informatik

    Författare :Emma Lind; Sofi Glas; [2022]
    Nyckelord :Data governance; Data mining methodology; The CRISP-DM Framework; Data mining in healthcare;

    Sammanfattning : With extensive data available in today's organizations, it has become increasingly important to secure valuable insights through data. As a result, the management of data to support decision-making processes is receiving increasing attention in organizations' IT strategies. The healthcare sector is no exception. LÄS MER

  4. 3. A European solution for Text and Data Mining in the development of creative Artificial Intelligence : With a specific focus on articles 3 and 4 of the Digital Signel Market Directive

    Magister-uppsats, Stockholms universitet/Juridiska institutionen

    Författare :Kristina Christensen; [2021]
    Nyckelord :Copyright; Related Rights; Sui generis database right; Digital Single Market Directive; Text and Data Mining; Exceptions and Limitations; Artificial Intelligence.;

    Sammanfattning : In today’s data-driven society, also called the Fourth Industrial Revolution, Text and Data Mining (TDM) has become an essential tool in managing the booming Big Data in its different sizes and forms. It is also an inherent part of AI research using machine learning, where these techniques highly depend on datasets derived from TDM to self-learn and to make autonomous decisions. LÄS MER

  5. 4. Spatio-temporal Traffic Flow Prediction

    Master-uppsats, KTH/Geoinformatik

    Författare :Mesele Atsbeha Gebresilassie; [2017]
    Nyckelord :ITS; principal component analysis; spatio-temporal traffic flow; spatially weighted regression; traffic flow prediction; support vector machine for regression;

    Sammanfattning : The advancement in computational intelligence and computational power and the explosionof traffic data continues to drive the development and use of Intelligent TransportSystem and smart mobility applications. As one of the fundamental components of IntelligentTransport Systems, traffic flow prediction research has been advancing from theclassical statistical and time-series based techniques to data–driven methods mainly employingdata mining and machine learning algorithms. LÄS MER

  7. 5. Positioning of online betting services : A case study of finding the gap between companies’ view versus customers’ view

    Master-uppsats, KTH/Industriell marknadsföring

    Författare :PAWEL BONIECKI; [2016]
    Nyckelord :online betting; branding; brand positioning; online; text mining; football; price war; reviews.; online betting; märkesprofilering; varumärkespositionering; online; text mining;

    Sammanfattning : Under det senaste decenniet har informationsteknologin utvecklats explosionartat. Införandet av smartphones och surfplattor som alltid är anslutna till Internet har förändrat vårt sätt att "konsumera" den. Allt detta ledde till digitaliseringen av betting tjänster och flytten till Internet. LÄS MER