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Mostrando ítems 11-16 de 16
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On Member Labelling in Social Networks
(Springer, 2015)
Software agents are increasingly used to search for experts, recommend resources, assess opinions, and other similar tasks in the context of social networks, which requires to have accurate information that describes the ...
Ponencia
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On Extracting Information from Semi-structured Deep Web Documents
(Springer, 2015)
Some software agents need information that is provided by some web sites, which is difficult if they lack a query API. Information extractors are intended to extract the information of interest automati cally and offer ...
Artículo
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On validating web information extraction proposals
(Elsevier, 2022)
Many people who have to make informed decisions in today’s always-on culture use information extractors to feed their systems with information that comes from human-friendly documents. Unfortunately, many proposals that ...
Artículo
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On exploring data lakes by finding compact, isolated clusters
(Elsevier, 2022)
Data engineers are very interested in data lake technologies due to the incredible abun dance of datasets. They typically use clustering to understand the structure of the datasets before applying other methods to infer ...
Artículo
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A coral-reef approach to extract information from HTML tables
(Elsevier, 2022)
his article presents Coraline, which is a new table-understanding proposal. Its novelty lies in a coral-reef optimisation algorithm that addresses the problem of feature selection in synchrony with a clustering technique ...
Artículo
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A hybrid quantum approach to leveraging data from HTML tables
(Springer, 2022)
The Web provides many data that are encoded using HTML tables. This facilitates rendering them, but obfuscates their structure and makes it difficult for automated business processes to leverage them. This has motivated ...