Project Support for : Ph.D/M.E/M.Tech/B.E/B.Tech/MCA/Msc/BCA/Diplomo

Department : Computer Science/ Information Technology/ Electronics

Star Student Project


Proposed a method to prune the inverted files based on the Probability Ranking Star Student Project Principle as a decision criterion for posting list entries’ pruning. Star Student Project Rather than pruning in a single machine, in our work we care Star Student Project more about which subset of terms (words) to be distributed into Star Student Project multiple servers, based on their visual word Star Student Project concurrence, different from using the probability ranking principle as in Blanco Star Student Project. Moreover, rather than considering every term in the lexicon as a single-term query to guide their Bayesian decision Star Student Project based term pruning, our Boosting based pruning Star Student Project is a combinational query formulation.