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New Trends in Databases and Information Systems ADBIS 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, Bled, Slovenia, September 8–11, 2019, Proceedings için kapak resmi

New Trends in Databases and Information Systems ADBIS 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, Bled, Slovenia, September 8–11, 2019, Proceedings

New Trends in Databases and Information Systems ADBIS 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, Bled, Slovenia, September 8–11, 2019, Proceedings

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Welzer, Tatjana. editor. (orcid)0000-0002-6865-4946

https://doi.org/10.1007/978-3-030-30278-8

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Electronic Resources

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Data Mining and Knowledge Discovery. https://scigraph.springernature.com/ontologies/product-market

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Data Analytics 31st British International Conference on Databases, BICOD 2017, London, UK, July 10–12, 2017, Proceedings için kapak resmi

Data Analytics 31st British International Conference on Databases, BICOD 2017, London, UK, July 10–12, 2017, Proceedings

Data Analytics 31st British International Conference on Databases, BICOD 2017, London, UK, July 10–12, 2017, Proceedings

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Calì, Andrea. editor.

https://doi.org/10.1007/978-3-319-60795-5

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Electronic Resources

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Data Mining and Knowledge Discovery. http://scigraph.springernature.com/things/product-market-codes

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The Semantic Web – ISWC 2017 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I için kapak resmi

The Semantic Web – ISWC 2017 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I

The Semantic Web – ISWC 2017 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I

Yazar

d'Amato, Claudia. editor. (orcid)0000-0002-3385-987X

https://doi.org/10.1007/978-3-319-68288-4

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Electronic Resources

Alıntı:

Hybrid Adaptive Distributed RDF Stream Processing Engine -- Mining Hypotheses from Data in OWL: Advanced

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