TY  - CONF
AV  - none
N1  - 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
N2  - 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.
KW  - Artificial intelligence; Computer science; Computers; Software engineering
KW  -  Analysis system; Forecasting modeling; Metocean; Ml algorithms; Running-in; WEB application
KW  -  Forecasting
ID  - scholars14710
TI  - Metocean Prediction using Hadoop, Spark R
SP  - 312
Y1  - 2021///
SN  - 9781728171517
PB  - Institute of Electrical and Electronics Engineers Inc.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112413564&doi=10.1109%2fICCOINS49721.2021.9497204&partnerID=40&md5=efc6c4c636b5890f65d8b709c4262b24
A1  - Ricky, S.K.
A1  - Rahim, L.A.
EP  - 315
ER  -