Classification Rule Mining through SMC for Preserving Privacy Data Mining: A Review
Alka Gangrade, Durgesh Kumar Mishra, Ravindra Patel · 2011
Abstract. Data Mining and Knowledge Discovery in Databases are two new dimensions of database technology that investigate the automatic extraction for identifying hidden patterns and trends from large amount of data. Several researchers have contributed variety of algorithms for generating the classification rule by considering different cases like scalability, computation time, I/O complexity, missing attribute values, multiple decision attributes, privacy preserving of the decision system. This paper focuses on the review of the techniques for privacy preserving classification under multi-party environment. Further, the classification and secure multi-party computation algorithms have also been reviewed. The performance analysis of the algorithms has been discussed in connection with the classification.