Title :
Privacy Parallel Algorithm for Mining Association Rules and its Application in HRM
Author :
Zhang, Xueping ; Zhu, Yanxia ; Hua, Nan
Author_Institution :
Coll. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
Abstract :
Parallel association rules mining has been improved the efficiency of data mining, and meanwhile concerned with the privacy preserving problem. A simple and effective method of parallel association rules mining which based on privacy protection----parallel association rules mining algorithm with privacy preserving (PARMA-P) has been introduced in this paper. It could achieve effective concealment of frequent item-set and then the association rules by the means of using imported hash assignment strategy in frequent item sets of FP sub tree could be protected. It has been used in HRM of an enterprise and experiments show that the algorithm can be simple and effective in protection of data privacy.
Keywords :
data mining; data privacy; file organisation; human resource management; parallel algorithms; HRM; data mining; data privacy; hash assignment strategy; parallel association rules mining algorithm; privacy parallel algorithm; privacy preserving problem; privacy protection method; Association rules; Computational intelligence; Data mining; Data privacy; Educational technology; Human resource management; Information science; Parallel algorithms; Protection; Space technology; FP-tree; Hash assignment strategy; data mining; privacy preserving; rules mining;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.220
