Dynamic authority-based keyword search algorithms, such as Object Rank and personalized PageRank, leverage semantic link information to provide high quality, high recall search in databases, and the Web. Conceptually, these algorithms require a querytime PageRank-style iterative computation over the full graph.
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The performance of DBMS is significantly affected when the key tuning parameters are altered. It is therefore important to identify only few important parameters and evaluate their effect on the system performance.