WIT Press


Considerations About The Effectiveness Of Inductive Learning Process In Data-mining Context

Price

Free (open access)

Paper DOI

10.2495/DATA000321

Volume

25

Pages

9

Published

2000

Size

1,058 kb

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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