DocumentCode
2900281
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
Volume
2
fYear
2009
fDate
12-14 Dec. 2009
Firstpage
296
Lastpage
299
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location
Changsha
Print_ISBN
978-0-7695-3865-5
Type
conf
DOI
10.1109/ISCID.2009.220
Filename
5368463
Link To Document