SMMCOA: Maintaining Multiple Correlations Between Overlapped Attributes Using Slicing Technique

Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Data Management
Format: PDF
Knowledge discovery is the most discussed topic now a day. Data which is collected from various resources are processed through various stages and the output of this process is the knowledge which is previously hidden. Basically data mining is a technique whose outputs are previously unknown and potentially useful information from data. There are several challenges of data mining are scalability, dimensionality, complex and heterogeneous data, data quality, data distribution and ownership, privacy preserving, etc. This paper proposed a new model for privacy preserving data publishing named as maintaining multiple correlations between overlapped attributes using slicing technique.

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