The Classification for E-government Document Based on SVM

Yunliang Jiang, Qing Shen, Jing Fan, Xiongtao Zhang
{"title":"The Classification for E-government Document Based on SVM","authors":"Yunliang Jiang, Qing Shen, Jing Fan, Xiongtao Zhang","doi":"10.1109/WISM.2010.14","DOIUrl":null,"url":null,"abstract":"The filing and classification of E-government document in E-government information system are accomplished manually, which restricts the government information technology seriously. To solve this problem, a classification algorithm for E-government document based on support vector machine is proposed. For the general workflow of E-government document circulation in the current information system, a scheme of the auto-classification and archiving based on service is presented so that it is realized in a heterogeneous information system. In this scheme, the original system is reused to create new value as much as possible and change of workflow is responded more rapidly. It is a new solution to the automatic E-government system.","PeriodicalId":119569,"journal":{"name":"2010 International Conference on Web Information Systems and Mining","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Web Information Systems and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISM.2010.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

The filing and classification of E-government document in E-government information system are accomplished manually, which restricts the government information technology seriously. To solve this problem, a classification algorithm for E-government document based on support vector machine is proposed. For the general workflow of E-government document circulation in the current information system, a scheme of the auto-classification and archiving based on service is presented so that it is realized in a heterogeneous information system. In this scheme, the original system is reused to create new value as much as possible and change of workflow is responded more rapidly. It is a new solution to the automatic E-government system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于SVM的电子政务文档分类
电子政务信息系统中电子政务文件的归档和分类都是手工完成的,严重制约了政务信息化的发展。为了解决这一问题,提出了一种基于支持向量机的电子政务文档分类算法。针对当前信息系统中电子政务文件流转的一般工作流程,提出了一种基于服务的电子政务文件自动分类归档方案,使其在异构信息系统中得以实现。该方案通过对原有系统的重用,尽可能多地创造新的价值,对工作流程的变化做出更快的响应。它是自动化电子政务系统的一种新的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Numerical Simulation of Micronized Re-burning (MCR) Organic Acid Salt Used as an Accelerator The Research of the Grouping Algorithm for Chinese Learners Based on Transitive Closure Research on Multi-colony Diploid Genetic Algorithm for Production Logistics Scheduling Optimization Application of Second Order Diagonal Recurrent Neural Network in Nonlinear System Identification Synchronization Research of Uncoupled Hyper-chaotic Systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1