2008 AnonymizingTransactionDatabases

• (Xu et al., 2008) ⇒ Yabo Xu, Ke Wang, Ada Wai-Chee Fu, and Philip S. Yu. (2008). “Anonymizing Transaction Databases for Publication.” In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2008). doi:10.1145/1401890.1401982

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%22Anonymizing+transaction+databases+for+publication%22+2008
• http://portal.acm.org/citation.cfm?doid=1401890.1401982&preflayout=flat#citedby

Quotes

Abstract

This paper considers the problem of publishing "transaction data" for research purposes. Each transaction is an arbitrary set of items chosen from a large universe. Detailed transaction data provides an electronic image of one's life. This has two implications. One, transaction data are excellent candidates for data mining research. Two, use of transaction data would raise serious concerns over individual privacy. Therefore, before transaction data is released for data mining, it must be made anonymous so that data subjects cannot be re-identified. The challenge is that transaction data has no structure and can be extremely high dimensional. Traditional anonymization methods lose too much information on such data. To date, there has been no satisfactory privacy notion and solution proposed for anonymizing transaction data. This paper proposes one way to address this issue.

References

,

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2008 AnonymizingTransactionDatabases	Ke Wang Ada Wai-Chee Fu Philip S. Yu Yabo Xu			Anonymizing Transaction Databases for Publication				10.1145/1401890.1401982