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- W2123290488 abstract "Searching on the Internet today can be compared to dragging a net across the surface of the ocean. While a great deal may be caught in the net, there is still a wealth of information that is deep, and therefore, missed. Deep Web sources store their content in searchable databases that only produce result dynamically in response to a direct request. In this paper, we proposed an automatic classification algorithm of Deep Web sources based on hierarchical clustering method in order to facilitate users to browse this valuable information." @default.
- W2123290488 created "2016-06-24" @default.
- W2123290488 creator A5051862338 @default.
- W2123290488 date "2010-01-01" @default.
- W2123290488 modified "2023-09-26" @default.
- W2123290488 title "Study of Deep Web Sources Classification Technology" @default.
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- W2123290488 doi "https://doi.org/10.1109/mmit.2010.25" @default.
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