基于数据挖掘的企业竞争情报智能采集策略研究（Ⅲ）——智能挖掘与采集平台构建的策略

Research on the Intelligent Acquisition Strategies of Enterprise Competitive Intelligence Based on Data Mining（Ⅲ）——The Strategies about Intelligent Data Mining and Construction of Collection Platform

信息源的选择与集成实现了信息资源的重组与整合,便于进行深层次的知识挖掘。本文依据竞争情报需求和信息源特点从不同角度深入探讨了企业竞争情报智能挖掘策略,包括基于信息内容的挖掘策略、基于信息结构关联的挖掘策略、基于情报产品知识表现形态的挖掘策略、基于信息行为角色类别的挖掘策略等。进而,阐述了智能采集平台模型构建策略和平台开发实施方案,将数据挖掘融合到情报信息源选择、集成、采集与分析的全过程中,可有效实现企业竞争情报的一体化智能处理。

The process of selection and integration realize the reorganization and fusion of information resource enabled to be mined at the knowledge level.In this paper,the authors make a detailed discussion of the strategies about intelligent enterprise competitive intelligence acquisition based on data mining from the view of exploiting information content,correlation of information structure,representation of competitive intelligence,types of information actors,and so on.Then,the construction and implementation of the corresponding collection platform is described.The platform can manage competitive intelligence in a synergetic way by deploying the data mining systematically into the life cycle of them.