Discovery of concept entities from web sites using web unit mining

• Main Authors: Yin, Ming, Goh, Dion Hoe-Lian, Lim, Ee Peng, Sun, Aixin
• 其他作者: Wee Kim Wee School of Communication and Information
• 格式: Article
• 語言: English
• 出版: 2010
• 主題: DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
• 在線閱讀: https://hdl.handle.net/10356/93769; http://hdl.handle.net/10220/6193; http://www.emeraldinsight.com/Insight/viewContentItem.do?contentType=Article&hdAction=lnkpdf&contentId=1614095
• 機構: Nanyang Technological University

A web site usually contains a large number of concept entities, each consisting of one or more web pages connected by hyperlinks. In order to discover these concept entities for more expressive web site queries and other applications, the web unit mining problem has been proposed. Web unit mining ai...