In order to improve the effectiveness of database repetitive recording detection, we propose a database iterative record detection algorithm based on deep learning. As a result, it was proven that the database repetition record detection rate and efficiency of this algorithm were high, and the result of the database repetition record was obviously superior to other algorithms. The results show that the database duplicate record detection results are significantly better than other current algorithms.
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关键词
Database,Duplicate record detection,Deep learning,Quantum particle swarm algorithm