| V. Estivill-Castro and L. Brankovic. Data swapping: Balancing privacy against precision in mining for logic rule. In DaWak99, pages 389-398, 1999. |
....sensitive information about individuals. Some interesting discourses on the nature of privacy in the context of recent trends in information technology may be found in [3, 5, 10, 11, 12, 13] This has lead to a considerable amount of focus on privacy preserving data collection and mining methods [1, 6, 7, 8, 15]. An innovative approach for privacy preserving data mining was recently proposed in [1] This technique relies on two facts: # Users are not equally protective of all values in their records. Thus, users may be willing to provide modi ed values of certain elds by the use of a (publically ....
V. Estivill-Castro and L. Brankovic. Data swapping: Balancing privacy against precision in mining for logic rule. In DaWak99, pages 389-398, 1999.
....[CRA99a] Cra99b] The concerns over massive collection of data are naturally extending to analytic tools applied to data. Data mining, with its promise to efficiently discover valuable, non obvious information from large databases, is particularly vulnerable to misuse [CM96] The98] Off98] ECB99] A fruitful direction for future research in data mining will be the development of techniques that incorporate privacy concerns [Agr99] Specifically, we address the following question. Since the primary task in data mining is the development of models about aggregated data, can we develop ....
....these methods and the level of privacy they provide in the next section. We do not use value dissociation, the third method proposed in [CS76] In this method, a value returned for a field of a record is a true value, but from the same field in some other record. Interestingly, a recent proposal [ECB99] to construct perturbed training sets is based on this method. Our hesitation with this approach is that it is a global method and requires knowledge of values in other records. The problem of reconstructing original distribution from a given distribution can be viewed in the general framework ....
V. Estivill-Castro and L. Brankovic. Data swapping: Balancing privacy against precision in mining for logic rules. In M. Mohania and A.M. Tjoa, editors, Data Warehousing and Knowledge Discovery DaWaK-99, pages 389--398. SpringerVerlag Lecture Notes in Computer Science 1676, 1999.
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