Search (8 results, page 1 of 1)

  • × year_i:[1990 TO 2000}
  • × theme_ss:"Data Mining"
  1. Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999) 0.11
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    Date
    17. 7.2002 19:22:06
    RSWK
    Entscheidungsunterstützungssystem / Lehrbuch
    Data-warehouse-Konzept / Lehrbuch
    Data mining / Lehrbuch
    Produktionsregelsystem / Lehrbuch
    Series
    Springer-Lehrbuch
    Subject
    Entscheidungsunterstützungssystem / Lehrbuch
    Data-warehouse-Konzept / Lehrbuch
    Data mining / Lehrbuch
    Produktionsregelsystem / Lehrbuch
  2. Amir, A.; Feldman, R.; Kashi, R.: ¬A new and versatile method for association generation (1997) 0.01
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    Date
    5. 4.1996 15:29:15
    Source
    Information systems. 22(1997) nos.5/6, S.333-347
  3. Hofstede, A.H.M. ter; Proper, H.A.; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling (1997) 0.01
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    Date
    5. 4.1996 15:29:15
    Source
    Information systems. 22(1997) nos.5/6, S.349-385
  4. Chowdhury, G.G.: Template mining for information extraction from digital documents (1999) 0.00
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    Date
    2. 4.2000 18:01:22
  5. KDD : techniques and applications (1998) 0.00
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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
  6. Cardie, C.: Empirical methods in information extraction (1997) 0.00
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    Date
    6. 3.1999 13:50:29
  7. Matson, L.D.; Bonski, D.J.: Do digital libraries need librarians? (1997) 0.00
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    Date
    22.11.1998 18:57:22
  8. Methodologies for knowledge discovery and data mining : Third Pacific-Asia Conference, PAKDD'99, Beijing, China, April 26-28, 1999, Proceedings (1999) 0.00
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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