摘要：Cloud computing is a powerful technology that are highly used to perform large- scale and complex computing. It completely remove requirement to maintain expensive computing hardware, or software and large space. Massive growth has been observed in the generation of data or big data over the year through cloud computing. For processing and anlaysing result from that large data generally require lots of computational power and large infrastructure requirement. Hence there is a need to conjoined big data with cloud computing. Since this big data is important to analysis in order to extract insight knowledge from the data. Traditional association rule mining for frequent itemset which scan the dataset into main memory may become inconvenient when handling large dataset. Hence there is need of processing this dataset on multiple commodity machine using parallel technique of Map Reduce Framework. This paper gives overview of different big data mining algorithm used for processing dataset.
