Title :
Privacy-Preserving Data Mining Systems
Author :
Zhang, Nan ; Zhao, Wei
Author_Institution :
Texas Univ., Arlington, TX
fDate :
4/1/2007 12:00:00 AM
Abstract :
Although successful in many applications, data mining poses special concerns for private data. An integrated architecture takes a systemic view of the problem, implementing established protocols for data collection, inference control, and information sharing. Our goal in investigating privacy preservation issues was to take a systemic view of architectural requirements and design principles and explore possible solutions that would lead to guidelines for building practical privacy-preserving data mining systems
Keywords :
data mining; data privacy; data warehouses; security of data; data collection; data mining system; inference control; information sharing; privacy preservation; Aggregates; Data analysis; Data mining; Data privacy; Data processing; Data warehouses; File servers; Multidimensional systems; Protection; Protocols; data management; data mining; information sharing; privacy;
DOI :
10.1109/MC.2007.142
