The quick development of the Internet surpasses all desires. The investigation and mining of immense sums of web information is confronting a bottleneck in computational power and storage room. Using cloud computing innovation, we can encourage the system access to capable thinking power, stockpiling limit and foundation. Cloud computing can viably take care of the issues by giving an information handling stockpiling focus of high dependability and versatility, which will enhance the capacity to process web information and decrease the necessities of the terminal gadgets. This paper thinks about web mining calculations in a cloud computing platform. The web information mining calculation and the MapReduce programming model are consolidated. We concentrate on the web mining methods, particularly the W-Miner clustering calculation, investigate the mix of web mining calculations and cloud computing innovation and enhance the information mining calculations to adjust to the examination and preparing of mass web information based on cloud computing stages. Our review develops a circulated cloud condition utilizing a Hadoop structure. In the exploratory condition, we dissect the effect on computational execution by setting distinctive piece measure parameters of Prediction accuracy with the number of clusters. Here, the cluster size decides the number that the pending information record is part, and the comparing scale with the measure of Hierarchical Clusters. © 2019 American Scientific Publishers