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
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