Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Bulletin of Science and Technology》 2013-06
Add to Favorite Get Latest Update

The Design and Implementation of Cloud Platform Based Building Algorithm for Logistic Regression Model

Yu Qingsheng(Foshan Polytechnic,Guangdong 528137,China)  
Logistic regression model is applied into many areas as a classification algorithm.Recently,with the highly development of information field,high scale data is becoming the main development trend.Traditional building algorithms for logistic regression models could not build logistic regression models for huge scale data effectively.In this paper,focusing on huge scale data,we propose a high efficient distributed building algorithm for logistic regression models,and it is based on cloud computing platform,and it could build logistic regression classification models fast and efficiently.The experimental results show that the proposed algorithm in this paper has good speed-up and scalability.
【Fund】: 广东省高新技术产业化攻关项目(00595750177068012)
【CateGory Index】: TP311.52
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved