检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

3 篇 会议

馆藏范围

3 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2 篇 工学
- 2 篇 计算机科学与技术...
2 篇 管理学
- 2 篇 管理科学与工程(可...

主题

3 篇 parallel process...
3 篇 c4.5desicion tre...
3 篇 encoded data str...
3 篇 machine learning

机构

1 篇 beijing key labo...
1 篇 beijing univ pos...

作者

1 篇 xu yanhong
1 篇 gu rentao
1 篇 yuefeng ji
1 篇 yanhong xu
1 篇 rentao gu
1 篇 ji yuefeng

语言

3 篇 英文

检索条件"主题词=Encoded data structure"

共 3 条记录，以下是1-10 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

NETWORK TRAFFIC ON-LINE CLASSIFICATION USING DECISION TREE FAST PARALLEL PROCESSING STRATEGY

NETWORK TRAFFIC ON-LINE CLASSIFICATION USING DECISION TREE F...

引用

3rd IEEE International Conference on Network Infrastructure and Digital Content. (IC-NIDC)

作者： Xu, Yanhong Gu, Rentao Ji, Yuefeng Beijing Univ Posts & Telecommun Beijing Key Lab Network Syst Architecture & Conve Sch Informat & Commun Engn Beijing 100876 Peoples R China

ISBN: (纸本)9781467322010;9781467322034

At present, most of the current traffic classification technology is adopted by the means of offline classification, unable to realize real-time online classification. A novel approach for network traffic online classification is proposed in this paper. A strategy of converting the C4.5 decision tree data structure to parallel data structure called encoded data structure is proposed. The encoded data structure is very easy for hardware realization, based on FPGA parallel and pipeline technology. It only needs two clock cycles to complete C4.5 decision tree search process without extra write and read controls. Experimental results show that the throughput of the classification system can reach to 1Gbit/s on the NetFPGA2.1.3 platform, and we expect that this design can be expanded to the NetFPGA-10G platform and the throughput can reach to 10Gbit/s. The classification accuracy can reach to more than 97% if we choose the appropriate evaluation algorithm and search algorithm to obtain the effective features set.

关键词： Machine learning C4.5desicion tree encoded data structure Parallel processing

来源：评论

学校读者我要写书评

暂无评论

NETWORK TRAFFIC ON-LINE CLASSIFICATION USING DECISION TREE FAST PARALLEL PROCESSING STRATEGY

NETWORK TRAFFIC ON-LINE CLASSIFICATION USING DECISION TREE F...

引用

2012 3rd IEEE International Conference on Network Infrastructure and Digital Content

作者： Yanhong Xu,Rentao Gu,Yuefeng Ji Beijing Key Laboratory of Network System Architecture and Convergence,School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China

At present,most of the current traffic classification technology is adopted by the means of offline classification,unable to realize real-time online classification.A novel approach for network traffic online classification is proposed in this paper.A strategy of converting the C4.5 decision tree data structure to parallel data structure called encoded data structure is *** encoded data structure is very easy for hardware realization,based on FPGA parallel and pipeline *** only needs two clock cycles to complete C4.5 decision tree search process without extra write and read *** results show that the throughput of the classification system can reach to 1Gbit/s on the NetFPGA2.1.3 platform,and we expect that this design can be expanded to the NetFPGA-10G platform and the throughput can reach to 10Gbit/*** classification accuracy can reach to more than 97% if we choose the appropriate evaluation algorithm and search algorithm to obtain the effective features set.

关键词： Machine learning C4.5desicion tree encoded data structure Parallel processing

来源：评论

学校读者我要写书评

暂无评论

NETWORK TRAFFIC ON-LINE CLASSIFICATION USING DECISION TREE FAST PARALLEL PROCESSING STRATEGY

NETWORK TRAFFIC ON-LINE CLASSIFICATION USING DECISION TREE F...

引用

The 3rd IEEE International Conference on Network Infrastructure and Digital Content (2012年第三届IEEE网络基础设施与数字内容国际会议(IEEE IC-NIDC2012))

作者： Yanhong Xu Rentao Gu Yuefeng Ji Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication EngineeringBeijing University of Posts and Telecommunications Beijing 100876 China

At present,most of the current traffic classification technology is adopted by the means of offiine classification,unable to realize real-time online classification.A novel approach for network traffic online classification is proposed in this paper.A strategy of converting the C4.5 decision tree data structure to parallel data structure called encoded data structure is *** encoded data structure is very easy for hardware realization,based on FPGA parallel and pipeline *** only needs two clock cycles to complete C4.5 decision tree search process without extra write and read *** results show that the throughput of the classification system can reach to 1 Gbit/s on the NetFPGA2.1.3 platform,and we expect that this design can be expanded to the NetFPGA-10G platform and the throughput can reach to 10Gbit/*** classification accuracy can reach to more than 97% if we choose the appropriate evaluation algorithm and search algorithm to obtain the effective features set.

关键词： Machine learning C4.5desicion tree encoded data structure Parallel processing

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共1页 << < 1 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：