Research and Implementation on Competitive Intelligence System Based on Big Data

Wang Yong; Xu Zhong-tao; Wang Ying

doi:10.3969/j.issn.1007-7162.2014.03.005

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Research and Implementation on Competitive Intelligence System Based on Big Data

更新时间：2026-05-27

- Research and Implementation on Competitive Intelligence System Based on Big Data
- Vol. 31, Issue 3, Pages: 27-31(2014)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2014.03.005
  CLC：
- Online First：30 September 2014，
  
  Published：2014
- 稿件说明：
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王勇, 许钟涛, 王瑛. 大数据环境下竞争情报系统的研究与实现[J]. 广东工业大学学报, 2014, 31(3): 27-31.

Wang Yong, Xu Zhong-tao, Wang Ying. Research and Implementation on Competitive Intelligence System Based on Big Data[J]. 2014, 31(3): 27-31.
王勇, 许钟涛, 王瑛. 大数据环境下竞争情报系统的研究与实现[J]. 广东工业大学学报, 2014, 31(3): 27-31. DOI： 10.3969/j.issn.1007-7162.2014.03.005.

Wang Yong, Xu Zhong-tao, Wang Ying. Research and Implementation on Competitive Intelligence System Based on Big Data[J]. 2014, 31(3): 27-31. DOI： 10.3969/j.issn.1007-7162.2014.03.005.

摘要

为让企业在大数据的环境下及时获得准确和可靠的竞争情报，提出了基于大数据的企业竞争情报系统的构建.通过B/S（浏览器/服务器）架构，运用聚焦爬虫工作原理的网络爬虫进行情报信息的采集，并用基于Hadoop的KNN算法进行情报信息的处理和分类，克服了大数据下KNN分类算法时间复杂度高等问题，同时系统支持用户个性化定制.

Abstract

To help enterprises to obtain timely

accurate and reliable intelligence information under the environment of big data

it proposed how to build an enterprise competitive intelligence system

based on big data. It used web crawlers of focused crawler works to collect intelligence information

and employed the Hadoop-based KNN algorithm to process and classify the intelligence information via the B/S (Browser/Server) framework

which can solve the problem of high time complexity of the KNN classification algorithm in a big data environment and other issues. The system also allows users some customization

making it more individualized.

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