Neural network analysis for "data strip mining" problems

Intelligent Engineering Systems Through Artificial Neural Networks

Volumn 1998, Issue , 1998, Pages 391-396

  Kewley, Robert ^a   Embrechts, Mark ^a   Breneman, Curt ^b  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b Research Rensselaer Polytechnic Institute   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOOTSTRAPPING; DATA STRIP MINING; NEURAL SENSITIVITY ANALYSIS;

DATABASE SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; RANDOM PROCESSES;

DATA MINING;

EID: 0032305466     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (7)

1. Bigus, J. P. (1996). Data Mining with Neural Networks. McGraw Hill.
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4. Johnson, R. A., Wiehern, D.W. (1992). Applied Multivariate Analysis. Prentice Hall.
5. Montgomery, D .C. (1997). Design and Analysis of Experiments. John Wiley and Sons.
6. Neter, J., Kutner, M. H., Nachtsheim, C. J., Wesserman, W. (1996), Applied Linear Regression Models. Irwin, third edition.
7. Tukey, J. (1958). Bias and confidence interval in not quite large samples. Annals of Statistics, (29), 614.