摘要
研究期刊编辑部用户和稿件管理优化问题。随着业务的发展,编辑部用户和稿件数量都在迅速增加,如何利用系统积累的大量数据来为编辑部的工作服务,成为现在网络在线投稿信息管理系统索要面临的一个新问题。数据挖掘技术能够挖掘大量数据之中隐藏在其中的能对决策提供支持的信息,本文以此为出发点,基于数据挖掘技术的特点,结合网络在线投稿信息管理系统的实际特点,探讨数据挖掘技术在网络投稿系统中的应用,提高用户满意度,同时又能减轻期刊编辑部工作负担。
With the surge of the number of users and manuscripts,the size of the database is expanding and resulting in a large amount of data.How to use the large amounts of data that the system accumulated working for editors is a new problem in the network online submission system.Data mining technology can tap hidden information supporting to make a decision from large amounts of data.In this article,we discuss the application of data mining techniques in the network online submission system based on characteristics of data mining technology and network online submission system,which can improve the satisfaction of customers and also can reduce the burden of journal editorial.
关键词
数据挖掘
在线投稿
应用
Data mining Online submission Application
