基于Map／Reduce的改进选择算法在云计算的Web数据挖掘中的研究

Research of improvement selection algorithm in cloud-computing Web data mining based on Map/Reduce

针对目前在搜索方面的数据量大、搜索延迟的特点,提出了基于云计算的Web挖掘的搜索模型。采用提出的基于Map/Reduce模型的改进型算法,通过仿真实验验证了该算法的可行性,在一定程度上减少了搜索的代价,提高了搜索效率。

For the current data in the search volume, search delay characteristics, this paper presented a Web data mining method based on cloud computing search model, using the three selection algorithm based on Map/Reduce model. The simula- tion experiment proves the feasibility of the algorithm, it reduces the search cost, improves the efficiency of search to a certain extent.