Sökning: "performance capability"

Visar resultat 1 - 5 av 405 uppsatser innehållade orden performance capability.

  1. 1. Feature Selection for Microarray Data via Stochastic Approximation

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Erik Rosvall; [2024-03-18]
    Nyckelord :feature selection; feature ranking; microarray data; stochastic approximation; Barzilai and Borwein method; Machine Learning; AI;

    Sammanfattning : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. LÄS MER

  3. 2. Does industry survey data improve GDP forecasting?

    Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

    Författare :Oscar Andersson; Ludvig Fornstedt; [2024-03-06]
    Nyckelord :Bayesian; BVAR; Forecasting; GDP; survey data;

    Sammanfattning : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. LÄS MER

  4. 3. Time Series Forecasting on Database Storage

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Pranav Patel; [2024]
    Nyckelord :Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

    Sammanfattning : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. LÄS MER

  5. 4. Assessing Subsidiary Performance in a Multinational Context - A single case study investigating practical procedures for performance measurement and underlying factors for performance creation.

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Simon Anderberg; Simon Eliasson; [2023-07-18]
    Nyckelord :Performance; Subsidiary Measurement; Network Measurement; Capability Measurement; Performance Measurement System;

    Sammanfattning : The path for successful performance is uncertain for any corporation, where there is no concise definition of performance and the objective of the organisation. The uncertainties and challenges related to the management of Multinational Corporations (MNCs) complicates the performance assessment of subsidiaries. LÄS MER

  7. 5. Big Data and Analytics with Driving  Data : Implementation and Analysis of Data Pipeline and Data Processing Resources

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Ivar Blohm; Erik Jarvis; [2023]
    Nyckelord :;

    Sammanfattning : This thesis project was conducted in cooperation with Zenseact for the purpose of investigating the possible usage of Google BigQuery and its capabilities to store and provide insights of large time-series data. An end-to-end data pipeline was built to facilitate the movement of data from Zenseact's local servers and ingestion into BigQuery. LÄS MER