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2006
IEEE

Sequence Mining Without Sequences: A New Way for Privacy Preserving

11 years 15 days ago
Sequence Mining Without Sequences: A New Way for Privacy Preserving
During the last decade, sequential pattern mining has been the core of numerous researches. It is now possible to efficiently discover users’ behavior in various domains such as purchases in supermarkets, Web site visits, etc. Nevertheless, classical algorithms do not respect individual’s privacy, exploiting personal information (name, IP address, etc.). We provide an original solution to privacy preserving by using a probabilistic automaton instead of the original data. An application in car flow modeling is presented, showing the ability of our algorithm to discover frequent routes without any individual information. A comparison with SPAM is done showing that even if we sample from the automaton, our approach is more efficient.
Stéphanie Jacquemont, François Jacqu
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICTAI
Authors Stéphanie Jacquemont, François Jacquenet, Marc Sebban
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