Author:Â G.Venu Babu, S Krupamai Yendrapati
Abstract:Â Nowadays clustering takes a crucial role in data mining. Clustering stands for grouping similar data items into a single place. Inside the cluster there is high intra cluster similarity. In real world Social sites data, marketing, banking and industrial data as going on increasing day by day. To handle those data is also a major problem which involves some privacy issues. All existing systems use normal clustering techniques that can reduces the mining process but there is lack of sensitive information and effort to mine data is complex. So the proposed Map Reduce based privacy preserving techniques will efficiently outsource the data into cloud and clustering operations performed on data being encrypted. Compared with existing methods, proposed framework will give accurate results and suitable for cloud data.
Full Issue
| View or download the full issue |