Automatic Clustering and Similarity Measurement for Documents Based on the Web 2.0 Concept

碩士 === 國立高雄第一科技大學 === 資訊管理所 === 96 === Due to the quick proliferation of Internt, there are a large volume of electronic documents shared over the cyberspace. To identify the similarity in traditional approaches, we have to read and interpret the content of all documents manually, which is a time-co...

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Bibliographic Details
Main Authors: Yu-De Tseng, 曾有德
Other Authors: Frank Shou-Cheng Tseng
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/4gapv8