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In conjunction with the 11th Extended Semantic Web Conference ESWC 2014. Knowledge discovery is a well-established field with a large community investigating methods for the discovery of patterns and regularities in large data sets, including relational databases and unstructured text. Research in this field has led to the development of practically relevant and scalable approaches such as association rule mining, subgroup discovery, graph mining, and clustering. Authors of contributed papers are espec.

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The domain knowalod2014.informatik.uni-mannheim.de presently has a traffic ranking of zero (the smaller the more traffic). We have downloaded seven pages within the website knowalod2014.informatik.uni-mannheim.de and found two websites referring to knowalod2014.informatik.uni-mannheim.de.
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KNOWALOD2014.INFORMATIK.UNI-MANNHEIM.DE TRAFFIC

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KNOWALOD2014.INFORMATIK.UNI-MANNHEIM.DE SERVER

We diagnosed that the main page on knowalod2014.informatik.uni-mannheim.de took one thousand one hundred and twenty-five milliseconds to download. We could not discover a SSL certificate, so our crawlers consider knowalod2014.informatik.uni-mannheim.de not secure.
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134.155.95.97

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In conjunction with the 11th Extended Semantic Web Conference ESWC 2014. Knowledge discovery is a well-established field with a large community investigating methods for the discovery of patterns and regularities in large data sets, including relational databases and unstructured text. Research in this field has led to the development of practically relevant and scalable approaches such as association rule mining, subgroup discovery, graph mining, and clustering. Authors of contributed papers are espec.

PARSED CONTENT

The domain had the following on the homepage, "In conjunction with the 11th Extended Semantic Web Conference ESWC 2014." I observed that the web page said " Knowledge discovery is a well-established field with a large community investigating methods for the discovery of patterns and regularities in large data sets, including relational databases and unstructured text." They also stated " Research in this field has led to the development of practically relevant and scalable approaches such as association rule mining, subgroup discovery, graph mining, and clustering. Authors of contributed papers are espec."

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