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For: Zhang H, Chen Z, Liu Z, Zhu Y, Wu C. Location Prediction Based on Transition Probability Matrices Constructing from Sequential Rules for Spatial-Temporal K-Anonymity Dataset. PLoS One 2016;11:e0160629. [PMID: 27508502 PMCID: PMC4980015 DOI: 10.1371/journal.pone.0160629] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Accepted: 07/23/2016] [Indexed: 11/19/2022]  Open
Number Cited by Other Article(s)
1
Kim JW, Jang B. Effectively computing transition patterns with privacy-preserved trajectory datasets. PLoS One 2022;17:e0278744. [PMID: 36490250 PMCID: PMC9733873 DOI: 10.1371/journal.pone.0278744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 11/22/2022] [Indexed: 12/13/2022]  Open
2
Wang X, Luo Y, Liu S, Wang T, Han H. Subspace k-anonymity algorithm for location-privacy preservation based on locality-sensitive hashing. INTELL DATA ANAL 2019. [DOI: 10.3233/ida-184183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
3
Zhang H, Wu C, Chen Z, Liu Z, Zhu Y. A novel on-line spatial-temporal k-anonymity method for location privacy protection from sequence rules-based inference attacks. PLoS One 2017;12:e0182232. [PMID: 28767687 PMCID: PMC5540611 DOI: 10.1371/journal.pone.0182232] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Accepted: 07/15/2017] [Indexed: 11/18/2022]  Open
4
Ur Rehman H, Azam N, Yao J, Benso A. A three-way approach for protein function classification. PLoS One 2017;12:e0171702. [PMID: 28234929 PMCID: PMC5325230 DOI: 10.1371/journal.pone.0171702] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 01/06/2017] [Indexed: 12/04/2022]  Open
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