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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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Home | knowalod2014.informatik.uni-mannheim.de Reviews

https://knowalod2014.informatik.uni-mannheim.de

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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knowalod2014.informatik.uni-mannheim.de knowalod2014.informatik.uni-mannheim.de
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Home

http://knowalod2014.informatik.uni-mannheim.de/en

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...

2

Submissions

http://knowalod2014.informatik.uni-mannheim.de/en/submissions

Submissions have to be formatted according to the Springer LNCS guidelines. We welcome both full papers (max 12 pages) as well as work-in-progress and position papers (max 6 pages). Accepted papers will be published online via CEUR-WS. A selection of the best papers of each ESWC workshops will be included in an additional volume edited by Springer. Furthermore, outstanding papers will be invited to a special issue of the Semantic Web Journal. Event detection and pattern discovery. Text and web mining.

3

Impressum

http://knowalod2014.informatik.uni-mannheim.de/en/impressum

Tel: (0621) 181- 2681. Internet: dws.informatik.uni-mannheim.de. Die Universität Mannheim ist gemäß 1 und 8 Abs. 1 des Landeshochschulgesetzes eine Körperschaft des öffentlichen Rechts. Sie wird durch den jeweiligen Rektor vertreten. At] informatik.uni-mannheim.de. Internet: http:/ www.uni-mannheim.de/rum/. Fotokopien und Downloads von den Web-Seiten für den privaten, wissenschaftlichen und nicht kommerziellen Gebrauch dürfen hergestellt werden. Wir begrüßen das Setzen von Links auf unsere Website. Die U...

4

Important Dates

http://knowalod2014.informatik.uni-mannheim.de/en/important-dates

Important dates for research papers:. Submission deadline: March 14, 2014 (extended! Notifications: April 1, 2014. Camera ready version: April 15, 2014. Workhop date: May 25th or 26th, 2014. Important dates for Linked Data Mining Challenge:. 26 February 2014: Data for both LDMC tracks available for download. 31 March 2014: Submission deadline for predictive task results. 3 April 2014: Submission deadline for LDMC papers. 10 April 2014: Notification of acceptance for LDMC papers.

5

Linked Data Mining Challenge

http://knowalod2014.informatik.uni-mannheim.de/en/linked-data-mining-challenge

Linked Data Mining Challenge. Linked Data Mining Challenge. Know@LOD 2014 will host the second edition of the Linked Data Mining Challenge (the first having been at DMoLD2013. Note: Deadlines from both the challenge result submission and associated papers are different from those of the regular Know@LOD 2014 papers, see the timeline below. Http:/ www.rapidminer.com/. The best LDMC paper will be awarded by an Amazon voucher worth 500 EUR, thanks to the LDMC sponsor EU project LOD2. The datasets have been ...

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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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May 29th or 30th, Heraklion, Crete. In conjunction with the 13th ESWC 2016. The extraction and discovery of knowledge from very large data sets;. The maintenance of high quality data and provenance information;. The scalability of processing and mining the distributed Web of Data; and. The discovery of novel links, both on the instance and the schema level. Besides a track for research papers. And a keynote talk. The workshop will host the fourth Linked Data Mining Challenge. Linked Data Mining Challenge.

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