关键词: 量子粒子群优化算法，最小二乘支持向量机，相似重复记录，检测

Abstract: Approximately duplicate record detection algorithm was proposed based on quantum swarm algorithm (QP- SO) and least squares support vector machine (LSSVM) to solve the large-scale database approximation duplicate re- cord detection problem. Firstly, the record field similarity values are calculated, and then the LSSVM parameters are op- timized,by QPSO to construction the approximately duplicate records detection model, finally simulation experiments arc carried out on the data set. hhe simulation results show that QPSC}I_SSVM not only improves the accuracy of the duplicate record detection but also improves the detection efficiency,and it is an effective approximate duplicate record, Detection algorithm.

Key words: Quantum particle swarm optimization, Least square support vector machines, Approximately duplicate record, Detection