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Volumn 2114, Issue , 2001, Pages 61-70

Discovering knowledge from meteorological databases: A meteorological aviation forecast study

Author keywords

[No Author keywords available]

Indexed keywords

DATA WAREHOUSES; DECISION MAKING; DECISION SUPPORT SYSTEMS; FORECASTING; WAREHOUSES;

EID: 80053078910     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44801-2_7     Document Type: Conference Paper
Times cited : (7)

References (18)
  • 8
  • 10
    • 0032255026 scopus 로고    scopus 로고
    • Rule Extraction from Neural Networks in Data Mining Applications
    • RiodeJaneiro, Brazil: WIT Press, UK
    • Hruschka, E. & Ebecken, N. (1998). Rule Extraction from Neural Networks in Data Mining Applications. In Proc. of International Conference on Data Mining, (pp.303-314). RiodeJaneiro, Brazil: WIT Press, UK.
    • (1998) Proc. Of International Conference on Data Mining , pp. 303-314
    • Hruschka, E.1    Ebecken, N.2
  • 14
    • 84958798480 scopus 로고
    • Knowledge Discovery in Databases.: MIT Press
    • Piatetsky-Shapiro, G., & Frawley, W. (1991). Knowledge Discovery in Databases.: MIT Press.
    • (1991)
    • Piatetsky-Shapiro, G.1    Frawley, W.2
  • 15
    • 0141771188 scopus 로고    scopus 로고
    • A Survey of Methods for Scaling Up Inductive Algorithms
    • (1999, June
    • Provost, F., & Kolluri, V. (1999, June, 1999). A Survey of Methods for Scaling Up Inductive Algorithms. Data Mining and Knowledge Discovery, Volume 3, 131-169.
    • (1999) Data Mining and Knowledge Discovery , vol.3 , pp. 131-169
    • Provost, F.1    Kolluri, V.2
  • 16
    • 0003766191 scopus 로고    scopus 로고
    • San Francisco, USA:Morgan Kaufmann Publishers, Inc
    • Pyle, D. (1999). Data Preparation for Data Mining. San Francisco, USA:Morgan Kaufmann Publishers, Inc.
    • (1999) Data Preparation for Data Mining
    • Pyle, D.1
  • 18
    • 0032276723 scopus 로고    scopus 로고
    • Forecasting of the German stock index DAX with neural networks: Using daily data for experiments with input variable reduction and a modified error function
    • RiodeJaneiro, Brazil:WIT Press, Southampton, UK
    • Siegler, W. & Steurer, E. (1998). Forecasting of the German stock index DAX with neural networks: Using daily data for experiments with input variable reduction and a modified error function. In Proc. of International Conference on Data Mining. (pp.289-301). RiodeJaneiro, Brazil:WIT Press, Southampton, UK.
    • (1998) Proc. Of International Conference on Data Mining , pp. 289-301
    • Siegler, W.1    Steurer, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.