Privacy Preserving Data Mining Using Association Rule With Condensation Approach

Provided by: Creative Commons
Topic: Big Data
Format: PDF
With the rapid development data mining within various fields and security and privacy concerns come into view. In data mining while releasing micro-data or patterns from large databases individual or organizational private data may get compromise the information. The main aim behind privacy preserving data mining is to maximizing analysis outcome and minimizing disclosure of individuals or organizational private data. Association rule mining explores interesting relationship between data. This paper is based on concepts: condensation method and association rule.

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