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.
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;
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
DOI :
10.1109/ICDMW.2006.26