Considerations About The Effectiveness Of Inductive Learning Process In Data-mining Context
Price
Free (open access)
Volume
25
Pages
9
Published
2000
Size
1,058 kb
Paper DOI
10.2495/DATA000321
Copyright
WIT Press
Author(s)
F. Souza & M. Gottgtroy
Abstract
The success of knowledge discovery from database process is completely dependent on the effectiveness of learning algorithms. Among the most used learning algorithms, the induction has been one of the principal methods. The evolution in this area has been grown quickly but induction and others learning methods are limited in relation to the efficacy of learning process as itself Human is the most perfect and complete example of learning system model that is known. At present, algorithmic solution of learning methods doesn't truly map the principles and features human cognitive process realizes in learning task. Nowadays, computer learning models are not able to consider important knowledge "details", affecting the quality of final product, specially in efficiency, dynamic a
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