Finding the Best page using Synonyms

Rating a page to be a best one, based only on Page Ranking algorithm of Brin and Page would be insufficient. This method relied totally on Link information alone. However, due to application of Soft Computing in Data Mining and Knowledge Discovery, machines were made more effective, additional features of a Page involving its indexing, terms used, capitalizations, anchor texts, hit information, etc. were considered. The classification problem helped to induce this to a great extent. The complexity of dealing with a large number of web pages on the net made researchers to think of solutions dealing with sampling pages randomly and then making an analysis of the features of these pages. Soft Computing techniques were used for analysis of the features of the page. These techniques involved Genetic Algorithms, Neural Networks, Fuzzy Logic and Rough sets. User' profiles of pages were created from the retrieved ones. Good and bad Pages were categorised on the basis of the terms they contained and these profiles were preserved for further reference. Pages were compared with each other for their similarity using Jaccard score and Best First search algorithm with developed software agents. Adaptive methods were used. Such methods were close to the concept of Genetic algorithm applications. The frequency at which a user visited web pages was also considered as a parameter of interest. Techniques to generate features of pages using co-occurance analysis were developed and web pages were classified based on machine learning. A good