Maximum Mutual Information Feature Extraction Method Based on the Cloud Platform

With the large-scale application of gene chip,gene expression data with high dimension which exists a large number of irrelevant and redundant features may reduce classifier performance problem.A maximum mutual information feature extraction method based on cloud platforms was proposed.Hadoop cloud...

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Main Authors: Shasha Wei, Huijuan Lu, Wei Jin, Chao Li
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2013-10-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.10.008/
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author Shasha Wei
Huijuan Lu
Wei Jin
Chao Li
author_facet Shasha Wei
Huijuan Lu
Wei Jin
Chao Li
author_sort Shasha Wei
collection DOAJ
description With the large-scale application of gene chip,gene expression data with high dimension which exists a large number of irrelevant and redundant features may reduce classifier performance problem.A maximum mutual information feature extraction method based on cloud platforms was proposed.Hadoop cloud computing platform could be a parallel computing after gene expression data segmentation,features was extracted at the same time combined with the maximum mutual information method and the characteristics of cloud computing platform filter model was realized.Simulation experiments show that the maximum mutual information feature extraction method based on the cloud platform can rapid extraction of features in a higher classification accuracy which save a lot of time resources to make a highly efficient gene feature extraction system.
format Article
id doaj-art-48f7b3025a2f462fb7b50de1e4865b4b
institution Kabale University
issn 1000-0801
language zho
publishDate 2013-10-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-48f7b3025a2f462fb7b50de1e4865b4b2025-01-15T03:21:28ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012013-10-0129384259625851Maximum Mutual Information Feature Extraction Method Based on the Cloud PlatformShasha WeiHuijuan LuWei JinChao LiWith the large-scale application of gene chip,gene expression data with high dimension which exists a large number of irrelevant and redundant features may reduce classifier performance problem.A maximum mutual information feature extraction method based on cloud platforms was proposed.Hadoop cloud computing platform could be a parallel computing after gene expression data segmentation,features was extracted at the same time combined with the maximum mutual information method and the characteristics of cloud computing platform filter model was realized.Simulation experiments show that the maximum mutual information feature extraction method based on the cloud platform can rapid extraction of features in a higher classification accuracy which save a lot of time resources to make a highly efficient gene feature extraction system.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.10.008/cloud computingmaximum mutual informationcloud platformfeature extraction
spellingShingle Shasha Wei
Huijuan Lu
Wei Jin
Chao Li
Maximum Mutual Information Feature Extraction Method Based on the Cloud Platform
Dianxin kexue
cloud computing
maximum mutual information
cloud platform
feature extraction
title Maximum Mutual Information Feature Extraction Method Based on the Cloud Platform
title_full Maximum Mutual Information Feature Extraction Method Based on the Cloud Platform
title_fullStr Maximum Mutual Information Feature Extraction Method Based on the Cloud Platform
title_full_unstemmed Maximum Mutual Information Feature Extraction Method Based on the Cloud Platform
title_short Maximum Mutual Information Feature Extraction Method Based on the Cloud Platform
title_sort maximum mutual information feature extraction method based on the cloud platform
topic cloud computing
maximum mutual information
cloud platform
feature extraction
url http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.10.008/
work_keys_str_mv AT shashawei maximummutualinformationfeatureextractionmethodbasedonthecloudplatform
AT huijuanlu maximummutualinformationfeatureextractionmethodbasedonthecloudplatform
AT weijin maximummutualinformationfeatureextractionmethodbasedonthecloudplatform
AT chaoli maximummutualinformationfeatureextractionmethodbasedonthecloudplatform