DocumentCode :
3260728
Title :
An Approach to Outsourcing Data Mining Tasks while Protecting Business Intelligence and Customer Privacy
Author :
Qiu, Ling ; Li, Yingjiu ; Wu, Xintao
Author_Institution :
Sch. of Math., Phys. & IT, James Cook Univ., Townsville, Qld.
fYear :
2006
fDate :
Dec. 2006
Firstpage :
551
Lastpage :
558
Abstract :
Data mining is playing an important role in decision making. It is beneficial to outsource data mining tasks if an organization does not have required expertise in-house. However, the organization may lose business intelligence and customer privacy during this outsourcing process. In this paper, we present a Bloom filter based solution to enable organizations to outsource their tasks of mining association rules while protecting their business intelligence and customer privacy. Our approach can achieve high precision in data mining by trading-off storage requirements
Keywords :
competitive intelligence; data mining; data privacy; outsourcing; Bloom filter; business intelligence; customer privacy; data mining; data protection; Association rules; Data mining; Data privacy; Decision making; Filters; Itemsets; Mathematics; Outsourcing; Physics; Protection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
Type :
conf
DOI :
10.1109/ICDMW.2006.26
Filename :
4063688
Link To Document :
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