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A Study Of Web-based Enterprise Relation Mining Techniques And Its Applications

Posted on:2018-05-25Degree:MasterType:Thesis
Country:ChinaCandidate:J N LiFull Text:PDF
GTID:2348330533466334Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the explosive growth of data in the Internet,the development of enterprises has been a great opportunity.The development of Business Intelligence(BI)has enabled enterprises to gain a better understanding of their customers,partners and even their competitors from all aspects of data sources.At the same time,the handling of massive data has brought new challenges to enterprises.The main problems in this aspect are information overload and huge amount of data,which brings great difficulties to manual process and analysis of these data.With the business relationships and business situation changing rapidly,the key to business success is the ability to access to the surrounding information accurately and timely.Based on this,we need to propose and develop a new method and tools to deal with these massive data from Internet to explore the network of cooperation and competition among enterprises,in order to monitor,analysis and display the latest results timely and rapidly.In this way,enterprises can use these relationships for business decisions timely and effectively.Further more,enterprises can improve the market performance,find market rules and reduce costs through cooperation with other companies and so on.Through a large number of experiments and contrast,this paper explores an effective way to obtain the competitive and cooperative relationships among enterprises from massive unstructured documents,called Enterprise Relationship Classification Based on Indicators,which is a semi-supervised learning method.The method uses a small number of artificial indicators and uses these indicators as text features to guide classification,moreover,the indicators can extend automatically and train their weights automatically.Experiments show that the method is advanced and practical.At the same time,through the study of enterprise relationship mining technology based on the Internet,in order to express the final research results simply,intuitively,clearly and friendly,this paper will show the network of enterprise relations with Data Visualization Technologies.In the end,this paper expects that the results of this study can be applied to the practical application of enterprises,and provide reference value for enterprise strategic decision.
Keywords/Search Tags:Text Mining, Semi-supervised Learning, Enterprise Relationship Mining, Data Visualization
PDF Full Text Request
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