Data mining techniques have been developed in many applications. However, they also
cause a threat to privacy. In this paper, we proposed a greedy method for hiding the number …

With rapid advance of the network and data mining techniques, the protection of the
confidentiality of sensitive information in a database becomes a critical issue when releasing …

The recent advance of data mining technology to analyze vast amount of data has played an
important role in marketing business, despite its benefits in such areas, data mining also …

Data mining is an essential technology to extract patterns or knowledge from large
repositories of data. Association rules in market basket database represent the shopping …

Data mining extracts novel and useful knowledge from large repositories of data and has
become an effective analysis and decision means in corporation. The sharing of data for …

Data mining techniques have been developed in many applications. However it also causes
a threat to privacy. We investigate to find an appropriate balance between a need for privacy …

Discovering frequent patterns from huge amounts of data is one of the most studied
problems in data mining. However, some sensitive patterns with security policies may cause …

The discovery of association rules from large databases has proven beneficial for
companies since such rules can be very effective in revealing actionable knowledge that …

Privacy preserving data mining (PPDM) is a novel research direction to preserve privacy for
sensitive knowledge from disclosure. Many of the researchers in this area have recently …

Association Rules discovered by association rule mining may contain some sensitive rules,
which may cause potential threats towards privacy and security. Many of the researchers in …