Sökning: "Predictive Analytics"

Visar resultat 6 - 10 av 47 uppsatser innehållade orden Predictive Analytics.

  1. 6. Prognosmodeller som verktyg för bedömning : Ett arbete om att nyttja elevdata i gymnasieskolan för att stödja betygsättning

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Alice Morell; Lana Hade; [2023]
    Nyckelord :Learning Analytics; Early Warning Systems; Regression Analysis; LMS; Learning Management System; digitalization; Learning Analytics; Prognosmodell; Regressionsanalys; Lärplattform; Learning Management System; Bedömning; Digitalisering;

    Sammanfattning : De Förenta Nationernas Agenda 2030 fastställer som ett delmål att säkerställa utbildning av hög kvalitet och främja livslångt lärande för alla som en del av arbetet för ett mer hållbart samhälle. Vikten av detta delmål blir särskilt tydlig i och med det observerbara sambandet mellan en fullständig gymnasieexamen och allmän hälsa i Sverige; gymnasiestudenter som går ut med en gymnasieexamen tenderar att erhålla bättre allmän hälsa. LÄS MER

  3. 7. Unlocking the Potential of Business Intelligence in HR: Assessment of how maturity is to be developed : A case study

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Berken Celik; O'bryan Gaete; [2023]
    Nyckelord :Business intelligence; human resources; BI maturity; predictive analysis; data-drive decision-making; BI factors; Business Intelligence; HR; BI-mognad; prediktiv analys; datadrivet beslutsfattande; BI-faktorer;

    Sammanfattning : The rise of technology and digitalization has greatly impacted organizations, particularly in the field ofHuman Resources (HR). To stay competitive in this evolving landscape, HR departments are increasingly adopting Business Intelligence (BI) as a useful umbrella concept to collect, store, access, and analyze data for data-driven decision-making. LÄS MER

  4. 8. Machine Learning based Predictive Data Analytics for Embedded Test Systems

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Fayad Al Hanash; [2023]
    Nyckelord :Machine learning; Artificial Intelligence; Predictive data analytics; Embedded test systems; Confusion matrix; Predictive maintenance; Support vector machines; Random forest; Gradient Boosting; Multi-layer perceptron; Binary classification; Multi-class classification;

    Sammanfattning : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. LÄS MER

  5. 9. Investigating the Use of Digital Twins to Optimize Waste Collection Routes : A holistic approach towards unlocking the potential of IoT and AI in waste management

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Aarati Medehal; [2023]
    Nyckelord :Internet of Things; Industry 4.0; Smart Cities; Artificial Intelligence; Travelling Salesman problem; Vehicle Routing Problems; Digital Twins; Waste collection; Optimization; Metaheuristics algorithms; Ant Colony Optimization; Simulated Annealing; Particle Swarm; Tabu Search; Genetic Algorithm; Ontology; Digital Twin Definition Language; Internet of Things; Industri 4.0; Smarta städer; Artificiell intelligens; Travelling Salesman problem; Vehicle Routing Problems; Digitala tvillingar; Sophämtning; Optimering; Metaheuristika algoritmer; Ant Colony optimering; Simulerad glödgning; Partikelsvärm; Tabu-sökning; Genetisk algoritm; Ontologi; Digitala tvillingar defintitionsspråk;

    Sammanfattning : Solid waste management is a global issue that affects everyone. The management of waste collection routes is a critical challenge in urban environments, primarily due to inefficient routing. This thesis investigates the use of real-time virtual replicas, namely Digital Twins to optimize waste collection routes. LÄS MER

  7. 10. Identifying Optimal Throw-in Strategy in Football Using Logistic Regression

    Master-uppsats, KTH/Matematisk statistik

    Författare :Stephan Nieto; [2023]
    Nyckelord :Set-piece; throw-in; football analytics; optimal strategy; logistic regression; model assumptions; feature importance; feature transformations; gradient boosting; Fasta situationer; inkast; fotbollsanalys; optimal strategi; logistisk regression; modellantaganden; variabelvikt; variabeltransformationer; gradient boosting;

    Sammanfattning : Set-pieces such as free-kicks and corners have been thoroughly examined in studies related to football analytics in recent years. However, little focus has been put on the most frequently occurring set-piece: the throw-in. LÄS MER