Web Content Outlier Framework for Enhancing Web Search Results through Mathematical Approaches

Nowadays, plenty, diverse and changing features of web persuades most of the users for seeking and retrieving the interesting information. On searching information on the web through the search engine, the unnecessary irrelevant and redundant information waste the user time and effort, lower the quality of web search results, increase indexing space and time complexity. So, it becomes an important issue to provide high quality and effective search results to retrieve information. Web content outliers mining studies on mining the insignificant and repetitive website pages from the remainder of other website pages under the ideal same class. Removal of content outliers from web enhances and upgrades the quality of web search results providing to the needs of the user. In this paper, the framework for web content outlier mining based on mathematical approaches is used. The experimental results show this framework provides better results in terms of Fl-measure and accuracy.