Abstract:
More or more data and content are
published on the web on the daily basis. The
categorization of classification of web content
according to their types or category is essential
for organization such as web portal, news portal
and search engine.Many machines learning
approach can be used for the classification of web
pages.Decision trees are one of the most popular
machines learning technique for web page
classification. Ensemble method provides high
accuracy in classification system. Random
subspace is used different feature to construct
individual decision tree in ensemble, so they are
suitable for the high dimensional data.This
proposed system used random subspace approach
for classification of web pages.C4.5 algorithm will
be used for building the tree in the random
subspace ensemble and majority voting will be
used for combining the output of the classifier.
