期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2014
卷号：5
期号：2
页码：67-70
语种：English
出版社：Ayushmaan Technologies
摘要：As the amount of information on the web is increases day by day, organizing this information could be a necessary requirement. Data mining method is to extract information from a data set and transform it into an understandable structure for further use. Web content mining is the mining, extraction and integration of helpful data, information and knowledge from Web page contents. As each component in a Web page like HTML tags and terms is taken as feature, dimension of the classification problem becomes too high to be resolved by well known classifiers decision trees and support vector machines etc. So there is a need for efficient methods to select best features to reduce feature space of the Web page classification problem.In this survey, the aim is to use a another optimization technique to select best features for Web page classification problem.The survey of Web page classification problem and various optimization techniques are performed in this paper.
