收稿日期: 2015-04-07
修回日期: 2015-05-10
网络出版日期: 2015-05-20
基金资助
本文系国家社会科学基金"网页内容分析与挖掘的企业竞争情报方法研究"(项目编号:10BTQ034)研究成果之一。
Characteristics, Types and Mining System of Network Dynamic Data
Received date: 2015-04-07
Revised date: 2015-05-10
Online published: 2015-05-20
[目的/意义] 由于网络动态数据在不断影响着企业动态竞争环境的形成和实时情报服务的创新发展,对其进行专业性研究就显得十分有必要。[方法/过程]分析CI视角下网络动态数据的内涵、特征及类型,概述网络动态数据挖掘研究经历的发展阶段,指出网络动态数据挖掘在竞争情报、战略管理及网络监测等领域有着较为广泛的需求及应用前景。最后,对CI视角下网络动态数据挖掘的基本原理、业务流程、系统模型设计及应用进行研究与分析。[结果/结论]研究认为:网络动态数据作为情报价值链的一种上游属性,能为情报研究与竞争情报活动提供竞争环境、竞争对手及竞争策略的动态、实时的数据集,具有动态进化性、突变性、开放性、时序性和实时性等特性。
黄晓斌 , 张兴旺 . 网络动态数据的特征、类型与挖掘系统[J]. 图书情报工作, 2015 , 59(10) : 14 -20 . DOI: 10.13266/j.issn.0252-3116.2015.10.002
[Purpose/significance] Network dynamic data is affecting the formation of enterprise dynamic competitive environment and the innovation and development of real-time information service, and the related professional study is very necessary. [Method/process]The paper analyzes the connotation, characteristics and types of dynamic data network under CI perspective, that summarizes network dynamic data mining research has gone through four stages of development. Then it points out network dynamic data mining has a relatively wide range of applications and requirements in competitive intelligence, financial management, strategic management, remotes sensing analysis, network monitoring and other fields. Finally, the basic principles, business processes, systems model design and application of network dynamic data mining under the CI perspective is studied and analyzed. [Result/conclusion]Studies suggest that network dynamic data, as a kind of intelligence value chain upstream property, can provide competitive environment, competitors, and competitive strategy of dynamic and real-time data sets for intelligence research and competitive intelligence activities, and has the dynamic evolutionary, respectively, openness, scheduling and real-time characteristics.
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