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  1. Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999) 6.53
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  2. Cohen, D.J.: From Babel to knowledge : data mining large digital collections (2006) 6.53
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  3. Mohr, J.W.; Bogdanov, P.: Topic models : what they are and why they matter (2013) 6.53
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  4. Bauckhage, C.: Moderne Textanalyse : neues Wissen für intelligente Lösungen (2016) 6.53
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  5. Kraker, P.; Kittel, C,; Enkhbayar, A.: Open Knowledge Maps : creating a visual interface to the world's scientific knowledge based on natural language processing (2016) 6.53
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  6. Maaten, L. van den: Learning a parametric embedding by preserving local structure (2009) 6.53
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  7. Maaten, L. van den; Hinton, G.: Visualizing non-metric similarities in multiple maps (2012) 6.53
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  8. Kipcic, O.; Cramer, C.: Wie Zeitungsinhalte Forschung und Entwicklung befördern (2017) 6.53
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  9. Maaten, L. van den: Accelerating t-SNE using Tree-Based Algorithms (2014) 6.53
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  10. Wattenberg, M.; Viégas, F.; Johnson, I.: How to use t-SNE effectively (2016) 6.53
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  11. Maaten, L. van den; Hinton, G.: Visualizing data using t-SNE (2008) 6.53
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  12. Nohr, H.: Big Data im Lichte der EU-Datenschutz-Grundverordnung (2017) 6.53
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  13. Wongthontham, P.; Abu-Salih, B.: Ontology-based approach for semantic data extraction from social big data : state-of-the-art and research directions (2018) 6.53
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  14. Jäger, L.: Von Big Data zu Big Brother (2018) 6.53
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  15. Loonus, Y.: Einsatzbereiche der KI und ihre Relevanz für Information Professionals (2017) 6.53
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  16. Datentracking in der Wissenschaft : Aggregation und Verwendung bzw. Verkauf von Nutzungsdaten durch Wissenschaftsverlage. Ein Informationspapier des Ausschusses für Wissenschaftliche Bibliotheken und Informationssysteme der Deutschen Forschungsgemeinschaft (2021) 6.53
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  17. Winterhalter, C.: Licence to mine : ein Überblick über Rahmenbedingungen von Text and Data Mining und den aktuellen Stand der Diskussion (2016) 6.53
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