Extreme Learning Machine Algorithm to Discover New Attributes From Unseen sites

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Provided by: The World
Topic: Data Management
Format: PDF
In this paper, the authors develop a learning framework for adding the information or knowledge extraction methods based wrapper methods for new attribute discovery, it aims at automatically adapting a formerly learning wrapper beginning the source web site to an innovative unobserved site for information extraction. One exclusive distinguishing of their structure is that it can determine original or formerly unknown attributes as fine as headers starting the innovative site. But the wrapper methods are generative representation for the creation of text fragments associated to attribute items and arrangement data in a web page.
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