Sökning: "Data generation"

Visar resultat 1 - 5 av 1548 avhandlingar innehållade orden Data generation.

  1. 1. A toolbox for idea generation and evaluation : Machine learning, data-driven, and contest-driven approaches to support idea generation

    Författare :Workneh Yilma Ayele; Gustaf Juell-Skielse; Paul Johannesson; Ahmed Elragal; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Idea generation; idea mining; data-driven idea generation; data-driven idea evaluation; toolbox for idea generation; toolbox for idea evaluation; contest-driven idea generation; machine learning for idea generation; text mining for idea generation; analytics for idea generation; human-centred AI for creativity; data- och systemvetenskap; Computer and Systems Sciences;

    Sammanfattning : Ideas are sources of creativity and innovation, and there is an increasing demand for innovation. For example, the start-up ecosystem has grown in both number and global spread. As a result, established companies need to monitor more start-ups than before and therefore need to find new ways to identify, screen, and collaborate with start-ups. LÄS MER

  3. 2. Data-driven AI Techniques for Fashion and Apparel Retailing

    Författare :Chandadevi Giri; Ulf Johansson; Jenny Balkow; Xianyi Zeng; Sebastien Thomessey; Maria Riveiro; Högskolan i Borås; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Digitalization; artificial intelligence; fashion and apparel industry; churn prediction; sales forecasting; campaign analysis; data driven AI decision-making; 数字化，人工智能，服装产业，客户流失预测，销售预测，竞争分析，数据驱动的人 工智能决策; Digitalisation; intelligence artificielle IA; industrie de la mode et de l habillement; prédiction de désabonnement; prévision des ventes; analyse des promotions; Prise de décision par IA axée sur les données; Digitalisering; Artificiell intelligens; Modeindustrin; Churnprediktion; Försäljningsprognoser; Kampanjanalys; Datadriven AI; Beslutsstöd; Business and IT; Handel och IT; Textil och mode generell ; Textiles and Fashion General ;

    Sammanfattning : Digitalisation allows companies to develop many new ways of interacting with customers and other stakeholders. These digital interactions typically generate data that can be stored and later processed for different objectives. LÄS MER

  4. 3. System-Wide Impacts of Distributed Generation on Power System Operation : Data-Driven Approaches to Addressing the Challenges of Integrating Distributed Generation

    Författare :Tin Rabuzin; Lars Nordström; Marjan Popov; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; data-driven modelling; distributed generation; dynamic equivalencing; islanding detection; reduced order modelling; datadriven modellering; detektion av ödrift; distribuerad generation; dynamisk modellering; reducerad ordningsmodellering; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Deployment of distributed generation (DG) is happening at an increasing rate driven by both the need for the reduction of humanity's carbon footprint and economic opportunities. The trend of increasing penetration levels of DG has also introduced interdependence between the responsibilities of system operators and the owners of the generating units. LÄS MER

  5. 4. Developing Median Regression for SURE Models : With Application to 3-Generation Immigrants' Data in Sweden

    Författare :Zangin Zeebari; Ghazi Shukur; Håkan Locking; Växjö universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistics; computer and systems science; Statistik; data- och systemvetenskap; Computer and Information Sciences Computer Science; Data- och informationsvetenskap;

    Sammanfattning : .... LÄS MER

  7. 5. Mining Evolving and Heterogeneous Data : Cluster-based Analysis Techniques

    Författare :Vishnu Manasa Devagiri; Veselka Boeva; Niklas Lavesson; Shehroz Khan; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Domain Adaptation; Evolving Clustering; Heterogeneous Data; Multi-View Clustering; Streaming Data; Computer Science; Datavetenskap;

    Sammanfattning : A large amount of data is generated from fields like IoT, smart monitoring applications, etc., raising demand for suitable data analysis and mining techniques. LÄS MER