Sökning: "data based decision making"

Visar resultat 1 - 5 av 1194 uppsatser innehållade orden data based decision making.

1. 1. “Det ska heta unicorn-katt-dinosaurie tid!” : Barns delaktighet genom skapandet av sin egen bilderbok

   Uppsats för yrkesexamina på grundnivå, Malmö universitet/Institutionen för barndom, utbildning och samhälle (BUS)

   Författare :Cheka Diaz; Sachithra Wijewickrama; [2024]
   Nyckelord :children’s participation; democracy; preschool; storybooks; story telling; workshops;

   Sammanfattning : The usage of children’s books is a fundamental aspect within a preschool environment. Even though the content in such books are childlike, they are always written by adult authors who appropriates a child-perspective. LÄS MER

3. 2. Attraktionens påverkan i rekryteringsprocessen : en kvantitativ studie om kognitiva fördomar

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för psykologi (PSY)

   Författare :Sara Bujila; Sophia Eriksson; [2024]
   Nyckelord :Cognitive biases; halo effect; attraction; first impression; recruitment; job suitability; Kognitiva fördomar; haloeffekten; attraktion; första intrycket; rekrytering; job suitability;

   Sammanfattning : The study was based on cognitive biases with the aim of investigating the extent to which the individual's physical appearance affects the hiring process, and whether individuals who are perceived as more attractive are ascribed more positive characteristics. The study was conducted with a quantitative method, where the data collection was done via an online survey with 62 respondents, the majority of whom had previous experience of decision- making in a recruitment context. LÄS MER

4. 3. Multicriteria Evaluation in Real Estate Land-use Suitability Analysis: The case of Volos, Greece

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Panagiotis Dimitrios Tsachageas; [2024]
   Nyckelord :Geography; GIS; Real Estate; Multicriteria Evaluation; Fuzzy; AHP; Earth and Environmental Sciences;

   Sammanfattning : The integration of Geographic Information Systems (GIS) into real estate analysis has long been considered an interesting interdisciplinary pursuit, but has yet to become mainstream. Despite the increasing academic focus over the last twenty years, this endeavour has mostly been approached from the scientific side of Geography. LÄS MER

5. 4. A Comparative Analysis of SecurityServices Using Identity and AccessManagement (IAM)

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Nithya Sree Muddychetty; [2024]
   Nyckelord :Access Control Lists; Identity Access Management; Multi-Factor Authentication; One time password; Single sign on; System Usability Scale; Virtual private network;

   Sammanfattning : Background: Identity and Access Management (IAM) is a critical IT securityframework for managing digital identities and resource access. With roots datingback to ancient civilizations, IAM has evolved from basic authentication to sophisticated methods. LÄS MER

7. 5. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Alexander Florean; [2024]
   Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER