clustering and association using k-mean over well-formed protected relational data
APARNA,
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:6 Issue:1 Year: 05 July,2016 Pages:1092-1096
Abstract
Clustering is a technique generally applied in almost different aspects of life. It is used for grouping the different set of objects in a group in a way that objects similar to each other in any sense are placed in same group and dissimilar items in different group. Association technique in data mining is used to find items that occur frequently for e.g. It is used in data mining for predicting and analyzing behavior of the customer. Its role is important for market basket analysis, making store layout etc. Association rules are made by analyzing if/then pattern that occur frequently. In project clustering and association is performed over well-formed encrypted data. The data is stored in encrypted format so that only authorized person can perform data mining over the data. The technique of both cryptography and data mining is used in my project. Cryptography is applied to ensure the data is safe from the outside world and is available only to the authenticated person.
Kewords
Encryption, Clustering, Association, Cryptography
Reference
tahaamateen@yahoo.com
