基于小波变换的文档相似性检索方法

Algorithms for theses similarity retrieval based on wavelet transform

随着电子文档的出现和发展,电子图书馆在人们的生活中正起着越来越重要的作用,如何从大量文档中获取有用的信息,成为信息检索领域的关键技术。一种改进的文本检索算法使用目前较先进的小波变换算法,有效地结合传统的向量空间法和近似法的优点,并且利用CBW算法来进行加权,有效避免了交叉比较关键词的问题。此算法用以比较文档之间的相似性,实验表明是一套性能较好的文档相似性检索方法。

With the emergence and evolution of electronic documents, electronic library is playing an important role in people＇s life.How to retrieve useful information from a large amount of information has become a key technology in the information area. In this paper, we present an improved document intrieval algorithm. Using the advantage of vector space methods and proximity search, it is a document similar retrieval technique with a better performance which uses wavelet transform technique and CBW weighting and can be used to compare the similarity of documents.