A Kind of Web Database Classification Based on Machine Learning
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.
Shaobo Zhong, Yimin Cheng and Xilong Qu
X. Q. Zhou and X. P. Tang, "A Kind of Web Database Classification Based on Machine Learning", Applied Mechanics and Materials, Vols. 50-51, pp. 644-648, 2011