DocumentCode :
618398
Title :
A novel approach: CART algorithm for vertically partitioned database in multi-party environment
Author :
Dansana, Jayanti ; Dey, Debabrata ; Kumar, Ravindra
Author_Institution :
Sch. of Comput. Eng., KIIT Univ., Bhubaneswar, India
fYear :
2013
fDate :
11-12 April 2013
Firstpage :
829
Lastpage :
834
Abstract :
Advancement of technology and use of distributed database has made an increasing concern about privacy of private data. Collaboration and team work brings huge and demanding result. But organizations are unwilling to participate for data mining due to data leakage. For availing huge demanding result, it is required to use and collect data from different participating parties in a secured way, that is, no data leakage and to use correct decision tree algorithm that can correctly model the data and show accurate result. This paper represents how CART algorithm can be used for multi parties in vertically partitioned environment. For security purpose, secure sum and secure size of set intersection protocols are used.
Keywords :
data acquisition; data mining; data models; data privacy; decision trees; distributed databases; groupware; pattern classification; protocols; team working; CART algorithm; collaborative work; data collection; data leakage; data mining; data model; data privacy; decision tree algorithm; distributed database partitioning; multiparty environment; secure size; secure sum; security; set intersection protocol; team work; Classification algorithms; Data privacy; Decision trees; Distributed databases; Partitioning algorithms; CART; Privacy Preserving; decision tree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information & Communication Technologies (ICT), 2013 IEEE Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-5759-3
Type :
conf
DOI :
10.1109/CICT.2013.6558209
Filename :
6558209
Link To Document :
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