Browse by Author "Chang, Kevin C-C."

  • Zhang, Zhen; He, Bin; Chang, Kevin C-C. (2004-11)
    The Web has been rapidly ``deepened" by myriad searchable databases online, where data are hidden behind query forms. Helping users query alternative ``deep Web" sources in the same domain (\eg, Books, Airfares) is an ...

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  • He, Bin; Chang, Kevin C-C. (2004-07)
    With the prevalence of databases on the Web, \emph{large scale} integration has become a pressing problem. As an essential task, \emph{holistic schema matching} (i.e., discovering attribute correspondences among many ...

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  • Zhang, Zhen; He, Bin; Chang, Kevin C-C. (2004-03)
    Recently, the Web has been rapidly ``deepened" with the prevalence of databases online and becomes an important frontier for data integration. On this deep Web, a significant amount of information can only be accessed as ...

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  • Li, Chengkai; Chang, Kevin C-C.; Ilyas, Ihab F.; Song, Sumin (2004-07)
    This paper introduces RankSQL, a system that provides a systematic and principled framework to support efficient evaluations of ranking (top-k) queries in relational database systems (RDBMS), by extending relational algebra ...

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  • He, Bin; Li, Chengkai; Killian, David; Patel, Mitesh; Tseng, Yuping; Chang, Kevin C-C. (2006-07)
    The Web has been rapidly ``deepened" by massive databases online: Recent surveys show that while the surface Web has linked billions of static HTML pages, a far more significant amount of information is ``hidden" in the ...

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  • Kelley, Joseph M.; Chang, Kevin C-C.; Cheng, Tao; Chuang, Shui-Lung; Davis, William (2004-11)
    With its sheer amount of information, the Web is clearly an important frontier for data mining. While Web mining must start with content on the Web, there is no effective ``search-based'' mechanism to help sifting through ...

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