Vytvoření datové pumpy pro analýzu včasnosti dodání produktu – Bc. Radovan Tomášik
Bc. Radovan Tomášik
Bachelor's thesis
Vytvoření datové pumpy pro analýzu včasnosti dodání produktu
Data pump design for data analysis of on-time product delivery
Abstract:
Táto bakalárska práca sa zaoberá dizajnom dátovej pumpy pre analýzu včasnosti doda-nia algoritmami strojového učenia. Hlavný výstup tejto práce je dizajn dátovej pumpy s ELT procesom manažovaným SSIS platformou, ktorá pripraví dáta pre algoritmy strojového učenia. Dizajn bol vytvorený na základe použitia metód a techník dátovej analýzy a vyťažovania dát (konkrétne CRISP-DM) pre projekt implementácie …moreAbstract:
The bachelor thesis focuses on data preparation for machine learning algorithms that will be applied for optimizing on-time product delivery at a manufacturing company. The main output of this thesis is a data pipeline design with an ELT process managed by the SSIS platform. It was designed by applying data analysis and data mining methods and techniques (specifically CRISP-DM) for a machine learning …more
Language used: English
Date on which the thesis was submitted / produced: 29. 4. 2022
Identifier:
https://is.muni.cz/th/miwnn/
Thesis defence
- Date of defence: 16. 6. 2022
- Supervisor: Ing. Michal Horák
- Reader: Ing. Mgr. Michal Krčál, Ph.D.
Citation record
ISO 690-compliant citation record:
TOMÁŠIK, Radovan. \textit{Vytvoření datové pumpy pro analýzu včasnosti dodání produktu}. Online. Bachelor's thesis. Brno: Masaryk University, Faculty of Economics and Administration. 2022. Available from: https://theses.cz/id/qnfcbb/.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Ekonomicko-správní fakultaMasaryk University
Faculty of Economics and AdministrationBachelor programme / field:
Business Informatics / Business Informatics
Theses on a related topic
-
Image Analysis Using Machine Learning Models
Norbert Komiňák -
Implementation of Sample Selection Estimators into Double Machine Learning Framework
Michaela Kecskésová -
Localization of mobile devices using machine learning
Aleš Calábek -
Exchange rates predictions using machine learning methods
Yaroslav Korobka -
Digital document analysis using machine learning methods
Nicholas Čapek -
Machine learning analysis and cataloging of extragalactic sources
Matej Kosiba -
Machine Learning for Text Anomaly Detection
Alina Tsykynovska -
Demand estimation using Machine Learning methods
Gabriela Moravčíková