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Research On Clustering Process Model About The Text Of The Web Based On Concept Lattices

Posted on:2011-08-18Degree:MasterType:Thesis
Country:ChinaCandidate:H F LiFull Text:PDF
GTID:2178360305957430Subject:Information Science
Abstract/Summary:PDF Full Text Request
The growing of information technology especially the Internet has been challenging existing information phenomenon. And it has thrived World Wide Web's information availability. The information explosiveness has been creating ways to find new concepts and mechanisms an effectively and efficiently to meet the information needs.To address the existing issues, this paper is proposed a web text clustering process model based on concept lattice.As an initial process, in-depth analysis of existing methods was carried to discover the advantages and disadvantages of each method. Followed by highlighted text clustering algorithms problems and then introduced a new concept lattice model which is a mathematical tool. And then the constructing of text clustering process and theoretical level formed presented. Moreover, the application point of view, two to three types text clustering is verified then demonstrated the feasibility of the model.Innovation of this paper is to give the new Web text clustering method to construct a concept lattice-based model of Web text clustering, text clustering methods and the application of concept lattices to innovate.the research results in the field of information retrieval, text mining solution offers new ideas, and also mathematics into the field of Information Science.It broaden the research ideas related to information science research played a good role in promoting.Having said that, the results of the research are presented as following:General introduction, background, significance and innovation task is presented in the chapter one. And chapter two is highlighted theories and concepts of given the theme like formal concept analysis, text clustering, clustering algorithm and web poly a class of process. In broader way, proposed model is presented in chapter three. Principles of Web text preprocessing, the text of feature representation and extraction methods whilst model background, extension table, building of lattice geometry, constructing ways of concept lattice of documents and properties of the cluster and also the formation of clustering results are respectively presented. The application process of the proposed model is discussed in chapter four. It has given overall surroundings of the entire application process. And finally, the findings, conclusions and further research are presented in chapter five.
Keywords/Search Tags:concept lattice, formal concept analysis(FCA), text clustering, text mining
PDF Full Text Request
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