An Efficient Web Query Optimization Algorithm Based on LDA and MA

With the explosive growth in the Web documents, retrieving document from the large-scale document database has become one of the most active research fields in data mining communities. Thus, developing an efficient document query optimization algorithm to retrieval Web document is of great importance. An efficient document query optimization algorithm based on linear discriminant analysis(LDA) and memetic algorithm(MA) is proposed in this paper. The experimental results demonstrate that the proposed algorithm achieves much better performance than other conventional document query optimization algorithms.