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Privacy Preserving Multiclass Classification for Horizontally Distributed Data

Published: 14 September 2018 Publication History

Abstract

With the advent of the era of big data, applying data mining techniques on assembling data from multiple parties (or sources) has become a leading trend. In this work, a Privacy Preserving Multiclass Classification (PPM2C) method is proposed. Experimental results show that PPM2C is workable and stable.

References

[1]
Chris Clifton, Murat Kantarcioglu, Jaideep Vaidya, Xiaodong Lin, and Michael Y Zhu. 2002. Tools for privacy preserving distributed data mining. ACM Sigkdd Explorations Newsletter 4, 2 (2002), 28--34.
[2]
Yunmei Lu, Piyaphol Phoungphol, and Yanqing Zhang. 2014. Privacy Aware Nonlinear Support Vector Machine for Multi-source Big Data. In Trust, Security and Privacy in Computing and Communications (TrustCom), 2014 IEEE 13th International Conference on. IEEE, 783--789.

Cited By

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  • (2024)Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challengesSwarm and Evolutionary Computation10.1016/j.swevo.2024.10166190(101661)Online publication date: Oct-2024
  • (2019)A new method for constructing ensemble polynomial regression model in privacy preserving distributed environmentFourth International Workshop on Pattern Recognition10.1117/12.2540453(19)Online publication date: 31-Jul-2019

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cover image ACM Conferences
SIGITE '18: Proceedings of the 19th Annual SIG Conference on Information Technology Education
September 2018
204 pages
ISBN:9781450359542
DOI:10.1145/3241815
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 September 2018

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Author Tags

  1. multiclass classification
  2. privacy preserve
  3. support vector machine

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SIGITE '18 Paper Acceptance Rate 24 of 59 submissions, 41%;
Overall Acceptance Rate 176 of 429 submissions, 41%

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Cited By

View all
  • (2024)Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challengesSwarm and Evolutionary Computation10.1016/j.swevo.2024.10166190(101661)Online publication date: Oct-2024
  • (2019)A new method for constructing ensemble polynomial regression model in privacy preserving distributed environmentFourth International Workshop on Pattern Recognition10.1117/12.2540453(19)Online publication date: 31-Jul-2019

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