Study on the Cross-domain Retrieval of Distributed Database Information Based on the Improved Decision Tree
In view of the existing retrieval method in the distributed database information cross-domain retrieval,the actual retrieval cost is too large,need through a large number of nodes and number of tuple retrieval to show the final retrieval content,introduce the improved decision tree,for the distributed database information cross-domain retrieval method design research.Gather the queries with the same semantics to the same query set to realize the distributed database query aggregation.Using the improved decision tree to divide the distributed database properties.Based on the collation,the cross-domain retrieval of the metadata information of the distributed database is realized.Through comparative experiments,it is proved that the retrieval cost of the new retrieval method is significantly lower compared with other existing retrieval methods.It can provide users with the desired query results after searching a small number of nodes and tuples,and effectively promote the improvement of retrieval efficiency.
improve the decision treedatabasecross-domain retrievaldistributed
万方数据
维普
