A REVIEW ON VARIOUS DATA-MINING TECHNIQUES FOR BIG DATA

There exist large amounts of heterogeneous digital data. This phenomenon is called Big data which will be examined. The examination of Big data has been launched as Big data analytics. Big data is large volume, heterogeneous, distributed data. Big data applications where data collection has grown continuously, it is expensive to manage, capture or extract and process data using existing software tools. Fast retrieval of the relevant information from databases has always been a significant issue. Clustering is a main task of exploratory data analysis and data mining applications. Clustering is one of the data mining techniques for dividing dataset into groups. Clustering is a kind of unsupervised data mining technique.