Paper Title:
A Kind of Web Database Classification Based on Machine Learning
  Abstract

The traditional search engine is unable to correct search for the magnanimous information in Deep Web hides. The Web database's classification is the key step which integrates with the Web database classification and retrieves. This article has proposed one kind of classification based on machine learning's web database. The experiment has indicated that after this taxonomic approach undergoes few sample training, it can achieve the very good classified effect, and along with training sample's increase, this classifier's performance maintains stable and the rate of accuracy and the recalling rate fluctuate in the very small scope.

  Info
Periodical
Edited by
Shaobo Zhong, Yimin Cheng and Xilong Qu
Pages
644-648
DOI
10.4028/www.scientific.net/AMM.50-51.644
Citation
X. Q. Zhou, X. P. Tang, "A Kind of Web Database Classification Based on Machine Learning", Applied Mechanics and Materials, Vols. 50-51, pp. 644-648, 2011
Online since
February 2011
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Price
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