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Issue 5
Oct.  2015
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Article Contents
LIU Shushu, LIU An, LIU Guanfeng, LI Zhixu, ZHAO Lei, ZHENG Kai. A privacy preserving framework for efficient computation of trajectory similarity[J]. Journal of East China Normal University (Natural Sciences), 2015, (5): 154-161. doi: 10.3969/j.issn.1000-5641.2015.05.013
Citation: LIU Shushu, LIU An, LIU Guanfeng, LI Zhixu, ZHAO Lei, ZHENG Kai. A privacy preserving framework for efficient computation of trajectory similarity[J]. Journal of East China Normal University (Natural Sciences), 2015, (5): 154-161. doi: 10.3969/j.issn.1000-5641.2015.05.013

A privacy preserving framework for efficient computation of trajectory similarity

doi: 10.3969/j.issn.1000-5641.2015.05.013
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  • Received Date: 2015-07-09
  • Publish Date: 2015-09-25
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    [3]CHEN L, ZSU M T, ORIA V. Robust and fast similarity search for moving object trajectories[C]Proceedings of the 2005 ACM SIGMOD international conference on Management of data. ACM, 2005: 491502.

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    [6]LI N, LI T, VENKATASUBRAMANIAN S. tcloseness: Privacy beyond kanonymity and ldiversity[C]Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on. IEEE, 2007: 106115.

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    [10]张啸剑, 孟小峰. 面向数据发布和分析的差分隐私保护[J]. 计算机学报, 2014(4): 018.

    [11]DENG K, XIE K, ZHENG K, et al. Trajectory indexing and retrieval[M]Computing with spatial trajectories. New York: Springer, 2011: 3560.
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