Classification of Knowledge Discovery Methods

Ruo Hu; Zan Fu Xie

doi:10.4028/www.scientific.net/AMM.63-64.859

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 63-64Classification of Knowledge Discovery Methods

Classification of Knowledge Discovery Methods

Abstract:

Knowledge Discovery, the science and technology of exploring knowledge in order to discover previously unknown patterns, is a part of the overall process of getting information in databases. In today’s computer-driven world, these databases contain a lot of information. The significant value of this information makes knowledge discovery a matter of considerable importance and necessity. A decision tree is a predictive model which can be used to represent both classifiers and regression models. When a decision tree is used for classification tasks, it is more appropriately referred to as a classification tree.in this paper, Classification Trees Method of Knowledge Discovery In Internet is given.

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Periodical:

Applied Mechanics and Materials (Volumes 63-64)

Pages:

859-862

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.63-64.859

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Online since:

June 2011

Authors:

Ruo Hu, Zan Fu Xie

Keywords:

Algorithm (GA), Classification Tree, KDI, Knowledge Discovery

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