Privacy Preserving Association Rule Mining in Retail Industries

Abstract: With data mining techniques one can easily disclose other's sensitive information or knowledge. So, preserving privacy for sensitive knowledge has become an important aspect. Privacy preserving data mining (PPDM) is a novel research direction to preserve privacy for sensitive knowledge from disclosure. DSRRC (Decrease Support of R.H.S. item of Rule Clusters) algorithm is used to preserve privacy for sensitive association rules in database. This algorithm clusters the sensitive association rules based on certain criteria by modifying fewer transactions and hides many rules at a time. Moreover it provides privacy for sensitive rules at certain level while ensuring data quality.

Keywords: Association Rules, Support, Confidence, DSRRC, Privacy preserving, Data Mining, Clustering, Sensitivity, Sanitized Database