Integrated approach for privacy preserving itemset mining

Yildiz B., Ergenç B.

International Conference on Advances in Intelligent Control and Innovative Computing, Hong Kong, hkg, 16 - 18 March 2011, pp.247-260 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1007/978-1-4614-1695-1_19
  • City: Hong Kong
  • Country: hkg
  • Page Numbers: pp.247-260
  • Keywords: Matrix-apriori, Privacy preserving data mining, Sensitive itemset hiding
  • Dokuz Eylül University Affiliated: No


In this work, we propose an integrated itemset hiding algorithm that eliminates the need of pre-mining and post-mining and uses a simple heuristic in selecting the itemset and the item in itemset for distortion. Base algorithm (matrix-apriori) works without candidate generation so efficiency is increased. Performance evaluation demonstrates (1) the side effect (lost itemsets) and time while increasing the number of sensitive itemsets and support of itemset and (2) speed up by integrating the post mining. © 2012 Springer Science+Business Media, LLC.