Approximate Duplicate Record Detection Algorithm Based on PSO and LSSVM
Liang Xue, Jianfeng Ren, Jing Li · 2012
Approximately duplicate record detection algorithm was proposed based on quantum swarm algorithm(QPSO) and least squares support vector machine(LSSVM) to solve the large-scale database approximation duplicate record detection problem.Firstly,the record field similarity values are calculated,and then the LSSVM parameters are optimized,by QPSO to construction the approximately duplicate records detection model,finally simulation experiments are carried out on the data set.The simulation results show that QPSO-LSSVM 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.