Integrated Approach for Privacy Preserving Itemset Mining

Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 110)

Abstract

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.

Keywords

Matrix-apriori Privacy preserving data mining Sensitive itemset hiding 

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Department of Computer EngineeringDokuz Eylul UniversityIzmirTurkey
  2. 2.Department of Computer EngineeringIzmir Institute of TechnologyIzmirTurkey

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