Essays about: "thesis for algorithm data management"

Showing result 6 - 10 of 112 essays containing the words thesis for algorithm data management.

  1. 6. Evaluation of Machine Learning techniques for Master Data Management

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Fatime Toçi; [2023]
    Keywords : Master Data Management; Machine Learning; data quality; data duplicates;

    Abstract : In organisations, duplicate customer master data present a recurring problem. Duplicate records can result in errors, complication, and inefficiency since they frequently result from dissimilar systems or inadequate data integration. READ MORE

  3. 7. Constructing and analyzing a gene-gene interaction network to identify driver modules in lung cancer using a clustering method

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Marcell Szalai; [2023]
    Keywords : Lung Cancer; Driver Modules; Artificial Intelligence; Clustering; Gene-Gene Interaction Network; Signaling Pathways;

    Abstract : Cancer is a complex disease with diverse genetic changes that pose significant treatment challenges due to its heterogeneity. Identifying driver modules, which are crucial for cancer progression, has been aided by artificial intelligence (AI) techniques. However, existing approaches lack specificity, particularly for cancer types like lung cancer. READ MORE

  4. 8. 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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Aarati Medehal; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  5. 9. Secure log-management for an Apache Kafka-based data-streaming service

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Hjalmar Kull; Mirza Hujic; [2023]
    Keywords : Apache Kafka;

    Abstract : This thesis aims to investigate the prospect of using Apache Kafka to manage data streams based on secrecy/classification level and separate these data streams in order to meet the requirement set by the secrecy/classification levels. Basalt AB has the responsibility of managing classified data for private and state actors, including the Swedish Armed Forces and other organizations. READ MORE

  6. 10. Peeking Through the Leaves : Improving Default Estimation with Machine Learning : A transparent approach using tree-based models

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Elias Hadad; Angus Wigton; [2023]
    Keywords : Machine learning; Expected credit loss; Probability of default; ECL; PD; Risk Management; Credit Risk Management; Default Estimation; AI; Artificial intelligence; Fintech; Supervised learning; Decision tree; Random forest; XG boost; Transparency; Machine learning transparency;

    Abstract : In recent years the development and implementation of AI and machine learning models has increased dramatically. The availability of quality data paving the way for sophisticated AI models. Financial institutions uses many models in their daily operations. READ MORE