Privacy-preserving data integration and sharing

Chris Clifton, Murat Kantarcioǧlu, AnHai Doan, Gunther Schadow, Jaideep Vaidya, Ahmed Elmagarmid, Dan Suciu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

97 Citations (Scopus)

Abstract

Integrating data from multiple sources has been a longstanding challenge in the database community. Techniques such as privacy-preserving data mining promises privacy, but assume data has integration has been accomplished. Data integration methods are seriously hampered by inability to share the data to be integrated. This paper lays out a privacy framework for data integration. Challenges for data integration in the context of this framework are discussed, in the context of existing accomplishments in data integration. Many of these challenges are opportunities for the data mining community.

Original languageEnglish
Title of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data
Pages19-26
Number of pages8
DOIs
Publication statusPublished - 1 Dec 2004
Externally publishedYes
Event9th Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD 2004, In Conjunction with ACM SIGMOD International Conference on Management of Data, SIGMOD-04 - Paris, France
Duration: 13 Jun 200413 Jun 2004

Other

Other9th Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD 2004, In Conjunction with ACM SIGMOD International Conference on Management of Data, SIGMOD-04
CountryFrance
CityParis
Period13/6/0413/6/04

Fingerprint

Data integration
Data mining

Keywords

  • H.2.5 [DatabaseManagement]: Heterogeneous Databases
  • H.2.7 [Database Management]: Database Administration - Security, integrity, and protection
  • H.2.8 [Database Management]: Database Applications - Data mining
  • Security

ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Clifton, C., Kantarcioǧlu, M., Doan, A., Schadow, G., Vaidya, J., Elmagarmid, A., & Suciu, D. (2004). Privacy-preserving data integration and sharing. In Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 19-26) https://doi.org/10.1145/1008694.1008698

Privacy-preserving data integration and sharing. / Clifton, Chris; Kantarcioǧlu, Murat; Doan, AnHai; Schadow, Gunther; Vaidya, Jaideep; Elmagarmid, Ahmed; Suciu, Dan.

Proceedings of the ACM SIGMOD International Conference on Management of Data. 2004. p. 19-26.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Clifton, C, Kantarcioǧlu, M, Doan, A, Schadow, G, Vaidya, J, Elmagarmid, A & Suciu, D 2004, Privacy-preserving data integration and sharing. in Proceedings of the ACM SIGMOD International Conference on Management of Data. pp. 19-26, 9th Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD 2004, In Conjunction with ACM SIGMOD International Conference on Management of Data, SIGMOD-04, Paris, France, 13/6/04. https://doi.org/10.1145/1008694.1008698
Clifton C, Kantarcioǧlu M, Doan A, Schadow G, Vaidya J, Elmagarmid A et al. Privacy-preserving data integration and sharing. In Proceedings of the ACM SIGMOD International Conference on Management of Data. 2004. p. 19-26 https://doi.org/10.1145/1008694.1008698
Clifton, Chris ; Kantarcioǧlu, Murat ; Doan, AnHai ; Schadow, Gunther ; Vaidya, Jaideep ; Elmagarmid, Ahmed ; Suciu, Dan. / Privacy-preserving data integration and sharing. Proceedings of the ACM SIGMOD International Conference on Management of Data. 2004. pp. 19-26
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