eprintid: 14710
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/47/10
datestamp: 2023-11-10 03:29:18
lastmod: 2023-11-10 03:29:18
status_changed: 2023-11-10 01:57:36
type: conference_item
metadata_visibility: show
creators_name: Ricky, S.K.
creators_name: Rahim, L.A.
title: Metocean Prediction using Hadoop, Spark R
ispublished: pub
keywords: Artificial intelligence; Computer science; Computers; Software engineering, Analysis system; Forecasting modeling; Metocean; Ml algorithms; Running-in; WEB application, Forecasting
note: cited By 1; Conference of 6th International Conference on Computer and Information Sciences, ICCOINS 2021 ; Conference Date: 13 July 2021 Through 15 July 2021; Conference Code:170762
abstract: This project is the development of an analysis system for historical Metocean Data. It is a single page reactive web application with shiny web UI package of R containing forecasting model, ARIMA and two ML algorithms, Linear Regression and H2O AutoML developed with R for the variables of Metocean data stored in HDFS of a virtual Hadoop cluster and spark is integrated to make the computations happen in-memory. The predictions is compared to the actual data to see its correctness with RMSE. Performance difference of the application deployed on desktop and on the server is also discussed. The application performs better when running in the server than on desktop. © 2021 IEEE.
date: 2021
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112413564&doi=10.1109%2fICCOINS49721.2021.9497204&partnerID=40&md5=efc6c4c636b5890f65d8b709c4262b24
id_number: 10.1109/ICCOINS49721.2021.9497204
full_text_status: none
publication: Proceedings - International Conference on Computer and Information Sciences: Sustaining Tomorrow with Digital Innovation, ICCOINS 2021
pagerange: 312-315
refereed: TRUE
isbn: 9781728171517
citation:   Ricky, S.K. and Rahim, L.A.  (2021) Metocean Prediction using Hadoop, Spark R.  In: UNSPECIFIED.