DocumentCode :
2712217
Title :
Architecture for Preserving Privacy During Data Mining by Hybridization of Partitioning on Medical Data
Author :
Khatri, Asha ; Kabra, Swati ; Singh, Shamsher ; Mishra, Durgesh Kumar
Author_Institution :
Dept. of Comput. Sci. & Eng., Medi-Caps Inst. of Technol. & Manage., Indore, India
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
93
Lastpage :
97
Abstract :
Abstract- Data mining technique, classification and prediction has improved and used in medical domain to helping medical practitioner in making their decisions. As medical data is highly sensitive to personal information of human being, so it is desired to keep private. There are many approaches for classification which have been adapted for privacy preserving in medical data which are based on data separation technique for privacy preserving. There are two scenarios, one is centralized and other is distributed data where several approaches have been developed. In this paper, we propose architecture for privacy preserving in data mining by combining horizontal data distribution and vertical data distribution for breast cancer data set.
Keywords :
Biomedical engineering; Circuits; Classification tree analysis; Computer architecture; Computer science; Data engineering; Data mining; Data privacy; Protocols; Transaction databases; Classification; Data Separation; Privacy; Secure Multiparty Computation; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mathematical/Analytical Modelling and Computer Simulation (AMS), 2010 Fourth Asia International Conference on
Conference_Location :
Kota Kinabalu, Malaysia
Print_ISBN :
978-1-4244-7196-6
Type :
conf
DOI :
10.1109/AMS.2010.31
Filename :
5489657
Link To Document :
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