简易网络信息情报挖掘系统的设计与实现

发布时间：2018-04-23 18:03

本文选题：网络信息挖掘 + 企业竞争情报　；参考：《电子科技大学》2013年硕士论文

【摘要】：随着社会网络化的发展，网络信息成为了当前各行各业重要的商业信息来源，对企业的发展显得尤为重要，，在企业发展过程中发挥了重要的作用，成为企业在市场竞争中重要的影响因素。在经济全球化的时代，企业需要通过不同方法收集与自身相关的有利信息，经过对信息处理分析后获得有价值的商业情报，使得企业根据市场情况以最快的速度调整战略，增强企业的竞争力。网络信息的挖掘分析受到越来越多的企业所重视，建立网络信息情报挖掘系统，如何分析处理海量的网络信息，并挖掘对企业发展有利信息是当前众多企业面临的新课题。本文在分析了当前网络信息挖掘现状的基础上，详细介绍了企业竞争情报、信息挖掘以及信息挖掘相关技术，比较了传统的基于数据库信息提取和基于网络信息挖掘的优劣，提出了采用网络信息挖掘技术分析海量网络信息，并阐述了网络信息挖掘的特点和前景。本文分析了网络信息情报挖掘系统的主要业务需求，设计了情报收集管理、情报集成管理、情报分析管理以及情报服务管理等4个功能，论述了网络信息挖掘系统的框架结构。本文采用了PagePank和HITS网络信息结合挖掘算法进行信息分析和提取，并且根据网络信息的新特性，同时，在这两种算法基础上提出了一种新的网络结构挖掘算法，并将网络结构算法应用在系统搜索引擎中，能够有效提高信息提取的准确度和效率。本文设计并开发的简易网络信息情报挖掘系统实现了信息快速提取的功能，采用改进的挖掘算法提高了信息获取的效率，经过系统测试和试运行，用户反映系统操作便捷，界面友好，功能完善，为提取企业有利信息提供了重要的自动化工具。
[Abstract]:With the development of social networking, network information has become an important source of business information in various industries, which is particularly important to the development of enterprises and plays an important role in the process of enterprise development. To become an important factor in the market competition. In the era of economic globalization, enterprises need to collect beneficial information related to themselves through different methods and obtain valuable business intelligence after processing and analyzing the information, so that enterprises can adjust their strategies as quickly as possible according to market conditions. Enhance the competitiveness of enterprises. More and more enterprises pay more and more attention to the mining and analysis of network information. It is a new task for many enterprises to set up a network information mining system, how to analyze and deal with a large amount of network information and how to mine favorable information for the development of enterprises. Based on the analysis of the current situation of network information mining, this paper introduces the competitive intelligence, information mining and information mining technologies in detail, and compares the advantages and disadvantages of traditional database based information extraction and network information mining. Network information mining technology is used to analyze massive network information, and the characteristics and prospects of network information mining are expounded. This paper analyzes the main business requirements of the network information mining system, designs four functions of information collection management, information integration management, information analysis management and information service management, and discusses the frame structure of the network information mining system. This paper uses PagePank and HITS network information mining algorithm to analyze and extract information, and according to the new characteristics of network information, at the same time, on the basis of these two algorithms, a new network structure mining algorithm is proposed. The network structure algorithm is applied to the system search engine, which can effectively improve the accuracy and efficiency of information extraction. The simple network information information mining system designed and developed in this paper realizes the function of rapid information extraction. The improved mining algorithm is used to improve the efficiency of information acquisition. After system testing and trial running, the user reflects the convenience of system operation. The interface is friendly and the function is perfect. It provides an important automation tool for extracting the favorable information of the enterprise.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP311.13;TP311.52

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