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Metocean Prediction using Hadoop, Spark & R

Sumayema, Kabir Ricky (2019) Metocean Prediction using Hadoop, Spark & R. IRC, Universiti Teknologi PETRONAS. (Submitted)

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Abstract

This project is the development of an analysis system for historical Metocean Data. it is also partial recreation of a previous system overcoming some of its shortcomings. The new system will be a single page reactive web application with shiny web UI containing forecasting model, ARIMA developed with R for the variables of Metocean data stored in Hadoop and spark is integrated to make the computations happen in-memory. The objective is to solve the problem of low speed of matlab and inefficiency of the previous RDBMS. Here, R is replacing functionality of matlab as the backend and Hadoop is replacing the RDBMS as the storage function but distributed file system.. The prediction from arima will be compared to an ML algorithm, Linear Regression, H2O AutoML and the actual data to see its correctness.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: Q Science > Q Science (General)
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 10 Sep 2021 08:57
Last Modified: 10 Sep 2021 08:57
URI: http://utpedia.utp.edu.my/id/eprint/20962

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