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Budzik, J.; Hammond, K.J.; Birnbaum, L.: Information access in context (2001)
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Chowdhury, G.G.: Template mining for information extraction from digital documents (1999)
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Witten, I.H.; Frank, E.: Data Mining : Praktische Werkzeuge und Techniken für das maschinelle Lernen (2000)
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- XIX,386 S
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Wrobel, S.: Lern- und Entdeckungsverfahren (2002)
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KDD : techniques and applications (1998)
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- Footnote
- A special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
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- Knowledge-based systems. 10(1998) no.7, S.401-470
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Keim, D.A.: Data Mining mit bloßem Auge (2002)
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Kruse, R.; Borgelt, C.: Suche im Datendschungel (2002)
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Borgelt, C.; Kruse, R.: Unsicheres Wissen nutzen (2002)
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Tiefschürfen in Datenbanken (2002)
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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
- Date
- 31.12.1996 19:29:41
- Source
- Spektrum der Wissenschaft. 2002, H.11, S.80-91
-
Cardie, C.: Empirical methods in information extraction (1997)
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- Date
- 6. 3.1999 13:50:29
- Source
- AI magazine. 18(1997) no.4, S.65-79
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Bath, P.A.: Data mining in health and medical information (2003)
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- Date
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- Annual review of information science and technology. 38(2004), S.331-370
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Matson, L.D.; Bonski, D.J.: Do digital libraries need librarians? (1997)
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- Online. 21(1997) no.6, S.87-92
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Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999)
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- Date
- 17. 7.2002 19:22:06
- Pages
- XII,434 S. + CD-ROM
-
Methodologies for knowledge discovery and data mining : Third Pacific-Asia Conference, PAKDD'99, Beijing, China, April 26-28, 1999, Proceedings (1999)
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- Abstract
- The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization, causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies
- Pages
- XV,533 S
- Type
- s
-
Wiegmann, S.: Hättest du die Titanic überlebt? : Eine kurze Einführung in das Data Mining mit freier Software (2023)
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- Date
- 28. 1.2022 11:05:29
-
Liu, X.; Yu, S.; Janssens, F.; Glänzel, W.; Moreau, Y.; Moor, B.de: Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database (2010)
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- Date
- 1. 6.2010 9:29:57
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.6, S.1105-1119
-
Srinivasan, P.: Text mining in biomedicine : challenges and opportunities (2006)
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- Date
- 29. 2.2008 17:14:09
- Pages
- S.221-236
-
Qiu, X.Y.; Srinivasan, P.; Hu, Y.: Supervised learning models to predict firm performance with annual reports : an empirical study (2014)
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- Date
- 29. 1.2014 16:46:40
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.2, S.400-413