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There is a rapid development of World Wide Web in its volume of traffic and the size and complexity of web sites. In this paper, a new approach is presented based on hybrid clustering methods for Web Usage Mining (WUM). The WUM process contains three steps: pre-processing, data mining and result analysis. First, it gives a brief description of the WUM process and Web data, then the presentation of the pre-processing step and the data warehouse that were employed. The hybrid clustering methods based on Fuzzy C-means clustering are used for analyzing and the Web logs taken from the real world Web servers. The results obtained after applying these methods and the corresponding interpretations are also presented. Furthermore, this paper also described web usage mining through cloud computing i.e. cloud mining. The Future work of web mining is to

Cloud Mining: Web usage mining and user behavior analysis using fuzzy C-means clustering