计算机技术与发展2015，Vol.25Issue(12)：14-17,4.DOI:10.3969/j.issn.1673-629X.2015.12.004
基于粒子群算法的大数据智能搜索引擎的研究
Research on Big Data Intelligent Search Engine Based on PSO
摘要
Abstract
In big data management platform of public security organ,an intelligent search engine based on PSO ( Particle Swarm Optimi-zation) algorithm is studied,which solves the current search engines' problem that cannot be very good for users to find their interested information and improves the search efficiency. Inverted sequence file segmentation storage method is adopted in big data management platform,significantly improving the efficiency of segmentation. In order to avoid a large number of data interaction between the client and the server,resulting in network congestion,use innovative data synchronization technology. The establishment of client database,gen-erate the client file tree,significantly reducing the amount of data communication between client and server. According to the characteris-tics of public security organ's big data,the PSO algorithm is introduced to intelligent search engine. Finally,develop a big data manage-ment platform and intelligent search engine for the public security organs. And through experiments verify the accuracy of search results and satisfaction of users.关键词
大数据/粒子群算法/数据管理平台/智能搜索引擎Key words
big data/particle swarm optimization/data management platform/intelligent search engine分类
信息技术与安全科学引用本文复制引用
胡存刚,程莹..基于粒子群算法的大数据智能搜索引擎的研究[J].计算机技术与发展,2015,25(12):14-17,4.基金项目
安徽省科技攻关项目(1301b042003) （1301b042003）
