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How to cite (IEEE):
M. Aljanabi, H. Ebraheem, Z. Hussain, M. Md Fudzee, S. Kasim, M. Ismail, D. Meidelfi, & A. Erianda
"Large Dataset Classification Using Parallel Processing Concept," JOIV : International Journal on Informatics Visualization, vol. 4, no. 4, , pp. 191 - 194, Dec. 2020.
https://doi.org/10.30630/joiv.4.4.361
How to cite (APA):
Aljanabi, M., Ebraheem, H., Hussain, Z., Md Fudzee, M., Kasim, S., Ismail, M., Meidelfi, D., & Erianda, A.
(2020).
Large Dataset Classification Using Parallel Processing Concept.
JOIV : International Journal on Informatics Visualization, 4(4), 191 - 194.
https://doi.org/10.30630/joiv.4.4.361
How to cite (Chicago):
Aljanabi, Mohammad, Ebraheem, Hind Ra'ad, Hussain, Zahraa Faiz, Md Fudzee, Mohd Farhan, Kasim, Shahreen, Ismail, Mohd Arfian, Meidelfi, Dwiny, AND Erianda, Aldo.
"Large Dataset Classification Using Parallel Processing Concept" JOIV : International Journal on Informatics Visualization [Online], Volume 4 Number 4 (18 December 2020)
https://doi.org/10.30630/joiv.4.4.361
How to cite (Vancouver):
Aljanabi M, Ebraheem H, Hussain Z, Md Fudzee M, Kasim S, Ismail M, Meidelfi D, & Erianda A .
Large Dataset Classification Using Parallel Processing Concept.
JOIV : International Journal on Informatics Visualization [Online]. 2020 Dec;
4(4):191 - 194.
https://doi.org/10.30630/joiv.4.4.361
How to cite (Harvard):
Aljanabi, M., Ebraheem, H., Hussain, Z., Md Fudzee, M., Kasim, S., Ismail, M., Meidelfi, D., & Erianda, A.
,2020.
Large Dataset Classification Using Parallel Processing Concept.
JOIV : International Journal on Informatics Visualization, [Online] 4(4), pp. 191 - 194.
https://doi.org/10.30630/joiv.4.4.361
How to cite (MLA8):
Aljanabi, Mohammad, Hind Ra'ad Ebraheem, Zahraa Faiz Hussain, Mohd Farhan Md Fudzee, Shahreen Kasim, Mohd Arfian Ismail, Dwiny Meidelfi, & Aldo Erianda.
"Large Dataset Classification Using Parallel Processing Concept." JOIV : International Journal on Informatics Visualization [Online], 4.4 (2020): 191 - 194. Web. 25 Sep. 2023
, https://doi.org/10.30630/joiv.4.4.361
BibTex Citation Data :
@article{JOIV361,
author = {Mohammad Aljanabi and Hind Ra'ad Ebraheem and Zahraa Faiz Hussain and Mohd Farhan Md Fudzee and Shahreen Kasim and Mohd Arfian Ismail and Dwiny Meidelfi and Aldo Erianda},
title = {Large Dataset Classification Using Parallel Processing Concept},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {4},
number = {4},
year = {2020},
keywords = {Large dataset; Parallel SVMs; PCA; Apache Spark.},
abstract = {Much attention has been paid to large data technologies in the past few years mainly due to its capability to impact business analytics and data mining practices, as well as the possibility of influencing an ambit of a highly effective decision-making tools. With the current increase in the number of modern applications (including social media and other web-based and healthcare applications) which generates high data in different forms and volume, the processing of such huge data volume is becoming a challenge with the conventional data processing tools. This has resulted in the emergence of big data analytics which also comes with many challenges. This paper introduced the use of principal components analysis (PCA) for data size reduction, followed by SVM parallelization. The proposed scheme in this study was executed on the Spark platform and the experimental findings revealed the capability of the proposed scheme to reduce the classifiers’ classification time without much influence on the classification accuracy of the classifier.},
issn = {2549-9904}, pages = {191--194}, doi = {10.30630/joiv.4.4.361},
url = {http://joiv.org/index.php/joiv/article/view/361}
}
Refworks Citation Data :
@article{{JOIV}{361}, author = {Aljanabi, M., Ebraheem, H., Hussain, Z., Md Fudzee, M., Kasim, S., Ismail, M., Meidelfi, D., Erianda, A.}, title = {Large Dataset Classification Using Parallel Processing Concept}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {4}, number = {4}, year = {2020}, doi = {10.30630/joiv.4.4.361}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.