Big Data processing Methods for Environmental Management – George Amoako Danquah
George Amoako Danquah
Master's thesis
Big Data processing Methods for Environmental Management
Big Data Processing Methods for Environmental Management
Abstract:
The aim of this study was to use Artificial Neural Networks, a machine learning algorithm which is a Big Data processing method to create a waste generation forecasting model on Solid waste in Ghana based on data from socio-economic and demographic factors. The processing and integration of data was developed in MATLAB software. Performance assessment indicators such as Regression (R) and Mean Square …moreAbstract:
The aim of this study was to use Artificial Neural Networks, a machine learning algorithm which is a Big Data processing method to create a waste generation forecasting model on Solid waste in Ghana based on data from socio-economic and demographic factors. The processing and integration of data was developed in MATLAB software. Performance assessment indicators such as Regression (R) and Mean Square …more
Language used: English
Date on which the thesis was submitted / produced: 25. 5. 2023
Thesis defence
Citation record
ISO 690-compliant citation record:
DANQUAH, George Amoako. \textit{Big Data processing Methods for Environmental Management}. Online. Master's thesis. Zlín: Tomas Bata University in Zlín, Faculty of Applied Informatics. 2023. Available from: https://theses.cz/id/pguhs4/.
The right form of listing the thesis as a source quoted
Danquah, George Amoako. Big Data processing Methods for Environmental Management. Zlín, 2023. diplomová práce (Ing.). Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky
Full text of thesis
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Institution archiving the thesis and making it accessible: Univerzita Tomáše Bati ve Zlíně, Fakulta aplikované informatikyPlny text prace je k dispozici v elektronicke podobe
Tomas Bata University in Zlín
Faculty of Applied InformaticsMaster programme / field:
Engineering Informatics / Information Technologies
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