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Knowledge Discovery Process and Methods to Enhance Organizational Performance
book

Knowledge Discovery Process and Methods to Enhance Organizational Performance

by Kweku-Muata Osei-Bryson, Corlane Barclay
March 2015
Intermediate to advanced content levelIntermediate to advanced
404 pages
13h 3m
English
Auerbach Publications
Content preview from Knowledge Discovery Process and Methods to Enhance Organizational Performance
332Kweku-Muata Osei-Bryson
1. Having equal weights for all candidate classiers, such as in bagging.
2. Using the relative performance of the base classier on its training dataset
to determine its weight. us, a classier with lower error (e.g., minimum
square error and error rate) would have a higher weight.
3. Applying data envelopment analysis (e.g., Sohn and Choi 2001).
Ueda (2000) noted that many of the proposed methods involve approach type(b),
often involving the minimum square error, and that while this approach type might
appear to be promising, it has some signicant problems that were also noted earlier
by Breiman (1996):
this approach poses two serious problems in practice: 1) e data is used
both in the training of each ...
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Publisher Resources

ISBN: 9781482212365