版权说明 操作指南
首页 > 成果 > 详情

Predictive Analytics by Using Bayesian Model Averaging for Large-Scale Internet of Things

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Zhu, Xinghui*;Kui, Fang;Wang, Yongheng
通讯作者:
Zhu, Xinghui
作者机构:
[Zhu, Xinghui; Kui, Fang] Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
[Wang, Yongheng] Hunan Univ, Coll Informat Sci & Engn, Changsha 410082, Hunan, Peoples R China.
通讯机构:
[Zhu, Xinghui] H
Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Acceptable performance;Bayesian model averaging;Complex event processing;Expectation Maximization;Gaussian Mixture Model;Internet of thing (IOT);Internet of Things (IOT);Markov Chain Monte-Carlo;Forecasting;Internet;Middleware;Bayesian networks
期刊:
International Journal of Distributed Sensor Networks
ISSN:
1550-1329
年:
2013
卷:
2013
期:
12
页码:
723260
基金类别:
National Key Technology R&D Program of ChinaNational Key Technology R&D Program [2012BAD35B07, 2013BAD15B02]; Hunan Provincial Natural Science FoundationNatural Science Foundation of Hunan Province [13JJ3046]
机构署名:
本校为第一且通讯机构
院系归属:
信息科学技术学院
摘要:
Massive events can be produced today because of the rapid development of the Internet of Things (IoT). Complex event processing, which can be used to extract high-level patterns from raw data, has become an essential part of the IoT middleware. Prediction analytics is an important technology in supporting proactive complex event processing. In this paper, we propose the use of dynamic Bayesian model averaging to develop a high-accuracy prediction analytic method for large-scale IoT application. This method, which is based on a new multilayered ...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com