Publication Type:
Conference Proceedings
Source:
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on, IEEE, Volume 3, Toronto, Canada, p.296 - 299 (2010)
ISBN:
978-1-4244-8482-9
URL:
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5614556
Keywords:
Web indexing task;
classification task;
frequency term vector;
k-anonymity preservation;
privacy preserving information retrieval;
semantic microaggregation;
Internet;
data privacy;
information retrieval;
pattern classification;
vectors
Abstract:
In this paper we introduce the problem of providing privacy preserving information for Web indexing, classification, and other information retrieval task. Web pages are represented by a frequency term vector that preserves k-anonymity for all the Web pages. This vector can then be used, for example, to build indexes of classifiers. Our proposal makes use of semantic micro aggregation.
