Differentially-private mining of moderately-frequent high-confidence association rules

Mihai Maruseac; Gabriel Ghinita

doi:10.1145/2699026.2699102

Differentially-private mining of moderately-frequent high-confidence association rules

Mihai Maruseac
, Gabriel Ghinita

Computer Science

University of Massachusetts Boston

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy
Publisher	Association for Computing Machinery
Pages	13-24
Number of pages	12
ISBN (Electronic)	9781450331913
DOIs	https://doi.org/10.1145/2699026.2699102
State	Published - Mar 2 2015
Event	5th ACM Conference on Data and Application Security and Privacy, CODASPY 2015 - San Antonio, United States Duration: Mar 2 2015 → Mar 4 2015

Publication series

Name	CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy

Conference

Conference	5th ACM Conference on Data and Application Security and Privacy, CODASPY 2015
Country/Territory	United States
City	San Antonio
Period	3/2/15 → 3/4/15

ASJC Scopus Subject Areas

Information Systems
Software
Computer Science Applications

Access to Document

10.1145/2699026.2699102

Cite this

Maruseac, M., & Ghinita, G. (2015). Differentially-private mining of moderately-frequent high-confidence association rules. In CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy (pp. 13-24). (CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy). Association for Computing Machinery. https://doi.org/10.1145/2699026.2699102

Differentially-private mining of moderately-frequent high-confidence association rules. / Maruseac, Mihai; Ghinita, Gabriel.
CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy. Association for Computing Machinery, 2015. p. 13-24 (CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Maruseac, M & Ghinita, G 2015, Differentially-private mining of moderately-frequent high-confidence association rules. in CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy. CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy, Association for Computing Machinery, pp. 13-24, 5th ACM Conference on Data and Application Security and Privacy, CODASPY 2015, San Antonio, United States, 3/2/15. https://doi.org/10.1145/2699026.2699102

Maruseac M, Ghinita G. Differentially-private mining of moderately-frequent high-confidence association rules. In CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy. Association for Computing Machinery. 2015. p. 13-24. (CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy). doi: 10.1145/2699026.2699102

Maruseac, Mihai ; Ghinita, Gabriel. / Differentially-private mining of moderately-frequent high-confidence association rules. CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy. Association for Computing Machinery, 2015. pp. 13-24 (CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy).

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Differentially-private mining of moderately-frequent high-confidence association rules

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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