@article {10.3844/jcssp.2010.1494.1498,
article_type = {journal},
title = {Hybrid Algorithm for Privacy Preserving Association Rule Mining},
author = {Chandrakar, Ila and Rani, Yelipe Usha and Manasa, Mortha and Renuka, Kondabala},
volume = {6},
number = {12},
year = {2010},
month = {Nov},
pages = {1494-1498},
doi = {10.3844/jcssp.2010.1494.1498},
url = {https://thescipub.com/abstract/jcssp.2010.1494.1498},
abstract = {Problem statement: The objective of the hybrid algorithm for privacy preserving data
mining is to hide certain sensitive information so that they cannot be discovered through association
rule mining techniques. Approach: The sensitive items whether in Left Hand Side (LHS) or Right
Hand Side (RHS) of the rule cannot be inferred through association rule mining algorithms by
combining the concept of Increase Support of Left Hand Side (ISL) and Decrease Support of Right
Hand Side (DSR) algorithms i.e., by increasing and decreasing the support of the LHS and RHS item
of the rule respectively. Results: The efficiency of the proposed approach is compared with alone
Increase Support of Left Hand Side (ISL) approach for real databases on the basis of number of rules
pruned. Conclusion: The hybrid approach of ISL and DSR algorithms prunes more number of
sensitive rules with same number of database scans.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}