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...

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Main Authors: Mustapha, I. B., Hasan, S., Shamsuddin, S. M., Lopes, N., Leng, W. Y.
Format: Article
Language:English
Published: International Center for Scientific Research and Studies 2016
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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
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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
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score 13.211869