GPU-based multiple back propagation for big data problems
The big data era has become known for its abundance in rapidly generated data of varying formats and sizes. With this awareness, interest in data analytics and more specifically predictive analytics has received increased attention lately. However, the massive sample sizes and high dimensionality pe...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
International Center for Scientific Research and Studies
2016
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/73775/1/IsmailMustapha2016_GPUBasedMultipleBackPropagation.pdf http://eprints.utm.my/id/eprint/73775/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84970967219&partnerID=40&md5=cad00b08e018ed91f7bfd829ae30c3d8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.73775 |
---|---|
record_format |
eprints |
spelling |
my.utm.737752017-11-18T06:37:01Z http://eprints.utm.my/id/eprint/73775/ GPU-based multiple back propagation for big data problems Mustapha, I. B. Hasan, S. Shamsuddin, S. M. Lopes, N. Leng, W. Y. T Technology (General) The big data era has become known for its abundance in rapidly generated data of varying formats and sizes. With this awareness, interest in data analytics and more specifically predictive analytics has received increased attention lately. However, the massive sample sizes and high dimensionality peculiar with these datasets has challenged the overall performance of one of the most important components of predictive analytics of our present time, Machine Learning. Given that dimensionality reduction has been heavily applied to the problems of high dimensionality, this work presents an improved scheme of GPU based Multiple Back Propagation (MBP) with feature selection for big high dimensional data problems. Elastic Net was used for automatic feature selection of high dimensional biomedical datasets before classification with GPU based MBP and experimental results show an improved performance over the previous scheme with MBP. International Center for Scientific Research and Studies 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/73775/1/IsmailMustapha2016_GPUBasedMultipleBackPropagation.pdf Mustapha, I. B. and Hasan, S. and Shamsuddin, S. M. and Lopes, N. and Leng, W. Y. (2016) GPU-based multiple back propagation for big data problems. International Journal of Advances in Soft Computing and its Applications, 8 (1). pp. 82-93. ISSN 2074-8523 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84970967219&partnerID=40&md5=cad00b08e018ed91f7bfd829ae30c3d8 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
language |
English |
topic |
T Technology (General) |
spellingShingle |
T Technology (General) Mustapha, I. B. Hasan, S. Shamsuddin, S. M. Lopes, N. Leng, W. Y. GPU-based multiple back propagation for big data problems |
description |
The big data era has become known for its abundance in rapidly generated data of varying formats and sizes. With this awareness, interest in data analytics and more specifically predictive analytics has received increased attention lately. However, the massive sample sizes and high dimensionality peculiar with these datasets has challenged the overall performance of one of the most important components of predictive analytics of our present time, Machine Learning. Given that dimensionality reduction has been heavily applied to the problems of high dimensionality, this work presents an improved scheme of GPU based Multiple Back Propagation (MBP) with feature selection for big high dimensional data problems. Elastic Net was used for automatic feature selection of high dimensional biomedical datasets before classification with GPU based MBP and experimental results show an improved performance over the previous scheme with MBP. |
format |
Article |
author |
Mustapha, I. B. Hasan, S. Shamsuddin, S. M. Lopes, N. Leng, W. Y. |
author_facet |
Mustapha, I. B. Hasan, S. Shamsuddin, S. M. Lopes, N. Leng, W. Y. |
author_sort |
Mustapha, I. B. |
title |
GPU-based multiple back propagation for big data problems |
title_short |
GPU-based multiple back propagation for big data problems |
title_full |
GPU-based multiple back propagation for big data problems |
title_fullStr |
GPU-based multiple back propagation for big data problems |
title_full_unstemmed |
GPU-based multiple back propagation for big data problems |
title_sort |
gpu-based multiple back propagation for big data problems |
publisher |
International Center for Scientific Research and Studies |
publishDate |
2016 |
url |
http://eprints.utm.my/id/eprint/73775/1/IsmailMustapha2016_GPUBasedMultipleBackPropagation.pdf http://eprints.utm.my/id/eprint/73775/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84970967219&partnerID=40&md5=cad00b08e018ed91f7bfd829ae30c3d8 |
_version_ |
1643656744913600512 |
score |
13.211869 |