Search (86 results, page 1 of 5)

Tiefschürfen in Datenbanken (2002) 0.04

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Content: Enthält die Beiträge: Kruse, R., C. Borgelt: Suche im Datendschungel - Borgelt, C. u. R. Kruse: Unsicheres Wissen nutzen - Wrobel, S.: Lern- und Entdeckungsverfahren - Keim, D.A.: Data Mining mit bloßem Auge
Language: d
Source: Spektrum der Wissenschaft. 2002, H.11, S.80-91

Data Mining im praktischen Einsatz : Verfahren und Anwendungsfälle für Marketing, Vertrieb, Controlling und Kundenunterstützung (2000) 0.03

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Editor: Alpar, P. u. I. Niedereichholz
Language: d

Mandl, T.: Text mining und data minig (2013) 0.03

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Language: d
Source: Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried

Handbuch Web Mining im Marketing : Konzepte, Systeme, Fallstudien (2002) 0.03

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Editor: Hippner, H. et al.
Language: d

Schmid, J.: Data mining : wie finde ich in Datensammlungen entscheidungsrelevante Muster? (1999) 0.03

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Language: d
Source: ARBIDO. 14(1999) H.5, S.11-13

Klein, H.: Web Content Mining (2004) 0.02

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Language: d
Source: Wissensorganisation und Edutainment: Wissen im Spannungsfeld von Gesellschaft, Gestaltung und Industrie. Proceedings der 7. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Berlin, 21.-23.3.2001. Hrsg.: C. Lehner, H.P. Ohly u. G. Rahmstorf

Witten, I.H.; Frank, E.: Data Mining : Praktische Werkzeuge und Techniken für das maschinelle Lernen (2000) 0.02

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Footnote: Rez. in: nfd 52(2001), H.7, S.427-428 (T. Mandl)
Language: d

Keim, D.A.: Data Mining mit bloßem Auge (2002) 0.02

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Language: d
Source: Spektrum der Wissenschaft. 2002, H.11, S.88-91

Kruse, R.; Borgelt, C.: Suche im Datendschungel (2002) 0.02

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Language: d
Source: Spektrum der Wissenschaft. 2002, H.11, S.80-81

Wrobel, S.: Lern- und Entdeckungsverfahren (2002) 0.02

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Language: d
Source: Spektrum der Wissenschaft. 2002, H.11, S.85-87

Analytische Informationssysteme : Data Warehouse, On-Line Analytical Processing, Data Mining (1998) 0.02

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Editor: Chamoni, P. u. P. Gluchowski
Language: d

Schwartz, D.: Graphische Datenanalyse für digitale Bibliotheken : Leistungs- und Funktionsumfang moderner Analyse- und Visualisierungsinstrumente (2006) 0.02

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Language: d
Source: Vom Wandel der Wissensorganisation im Informationszeitalter: Festschrift für Walther Umstätter zum 65. Geburtstag, hrsg. von P. Hauke u. K. Umlauf

Kulathuramaiyer, N.; Maurer, H.: Implications of emerging data mining (2009) 0.02

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Source: Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini

Analytische Informationssysteme : Data Warehouse, On-Line Analytical Processing, Data Mining (1999) 0.02

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Editor: Chamoni, P. u. P. Gluchowski
Language: d

Baumgartner, R.: Methoden und Werkzeuge zur Webdatenextraktion (2006) 0.02

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Language: d
Source: Semantic Web: Wege zur vernetzten Wissensgesellschaft. Hrsg.: T. Pellegrini, u. A. Blumauer

Brückner, T.; Dambeck, H.: Sortierautomaten : Grundlagen der Textklassifizierung (2003) 0.02

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Language: d
Source: c't. 2003, H.19, S.192-197

Borgelt, C.; Kruse, R.: Unsicheres Wissen nutzen (2002) 0.02

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Language: d
Source: Spektrum der Wissenschaft. 2002, H.11, S.82-84

Heyer, G.; Läuter, M.; Quasthoff, U.; Wolff, C.: Texttechnologische Anwendungen am Beispiel Text Mining (2000) 0.02

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Language: d
Source: Sprachtechnologie für eine dynamische Wirtschaft im Medienzeitalter - Language technologies for dynamic business in the age of the media - L'ingénierie linguistique au service de la dynamisation économique à l'ère du multimédia: Tagungsakten der XXVI. Jahrestagung der Internationalen Vereinigung Sprache und Wirtschaft e.V., 23.-25.11.2000, Fachhochschule Köln. Hrsg.: K.-D. Schmitz

Nohr, H.: Big Data im Lichte der EU-Datenschutz-Grundverordnung (2017) 0.02

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Language: d
Location: D

Relational data mining (2001) 0.02

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Abstract: As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The ferst part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programmeng; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.
Editor: Dzeroski, S. u. N. Lavrac

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