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  1. Schmid, J.: Data mining : wie finde ich in Datensammlungen entscheidungsrelevante Muster? (1999) 6.53 
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  2. Sperlich, T.: ¬Die Zukunft hat schon begonnen : Visualisierungssoftware in der praktischen Anwendung (2000) 6.53 
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  3. Heyer, G.; Läuter, M.; Quasthoff, U.; Wolff, C.: Texttechnologische Anwendungen am Beispiel Text Mining (2000) 6.53 
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  4. Seidenfaden, U.: Schürfen in Datenbergen : Data-Mining soll möglichst viel Information zu Tage fördern (2001) 6.53 
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  5. Tiefschürfen in Datenbanken (2002) 6.53 
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  6. Keim, D.A.: Data Mining mit bloßem Auge (2002) 6.53 
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  7. Kruse, R.; Borgelt, C.: Suche im Datendschungel (2002) 6.53 
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  8. Borgelt, C.; Kruse, R.: Unsicheres Wissen nutzen (2002) 6.53 
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  9. Wrobel, S.: Lern- und Entdeckungsverfahren (2002) 6.53 
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  10. Lischka, K.: Spurensuche im Datenwust : Data-Mining-Software fahndet nach kriminellen Mitarbeitern, guten Kunden - und bald vielleicht auch nach Terroristen (2002) 6.53 
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  11. Peters, G.; Gaese, V.: ¬Das DocCat-System in der Textdokumentation von G+J (2003) 6.53 
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  12. Brückner, T.; Dambeck, H.: Sortierautomaten : Grundlagen der Textklassifizierung (2003) 6.53 
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  13. Keim, D.A.: Datenvisualisierung und Data Mining (2004) 6.53 
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  14. Klein, H.: Web Content Mining (2004) 6.53 
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  15. Baumgartner, R.: Methoden und Werkzeuge zur Webdatenextraktion (2006) 6.53 
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  16. Schwartz, D.: Graphische Datenanalyse für digitale Bibliotheken : Leistungs- und Funktionsumfang moderner Analyse- und Visualisierungsinstrumente (2006) 6.53 
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  17. Hölzig, C.: Google spürt Grippewellen auf : Die neue Anwendung ist bisher auf die USA beschränkt (2008) 6.53 
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  18. Mandl, T.: Text mining und data minig (2013) 6.53 
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  19. Kipcic, O.; Cramer, C.: Wie Zeitungsinhalte Forschung und Entwicklung befördern (2017) 6.53 
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  20. Drees, B.: Text und data mining : Herausforderungen und Möglichkeiten für Bibliotheken (2016) 6.53 
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