基于数据挖掘的ARP数据分析系统

ARP Data Analysis System Based on Data Mining

中国科学院资源规划项目(Academia Resource Planning,简称ARP项目),是实现中国科学院资源规划的信息系统工程。该项目从中国科学院院所两级治理结构出发,以科技计划与执行管理为核心,综合运用创新的管理理念和先进的信息技术,对全院人力、资金、科研基础条件等资源配置及相关管理流程进行优化与整合。本文通过对当前数据挖掘技术的研究,利用数据挖掘技术对ARP系统大量数据进行了分析,获取其中有价值的信息和知识,方便院领导、管理人员及科研人员提供信息服务和决策支持,充分发挥ARP效益。

Academia Resource Planning project is an information system project to achieve resource planning of Chinese Academy of Sciences. ARP project serves two-level management organizations including CAS and its institutes, integrating and optimizing the business management flow of scientific research programs, human resources, comprehensive finance and scientific research conditions. This paper attempts to analyze large amounts of ARP data based on currently data mining techniques, obtaining valuable information and knowledge to provide information services and decision support to facilitate leaders, managers and researchers, maximizing the effectiveness of ARP system.