Effectively computing transition patterns with privacy-preserved trajectory datasets

HIGHLIGHTS

  • who: Jong Wook Kim and Beakcheol Jang from the Department of Computer Science, Sangmyung University, Seoul, Korea, Graduate School of Information have published the article: Effectively computing transition patterns with privacy-preserved trajectory datasets, in the Journal: PLOS ONE of 30/06/2022
  • what: The authors explore the computation of the transition patterns especially with a trajectory dataset collected using differential privacy which is a de facto standard for privacy-preserving data collection and processing. As shown in the figure, users agree to contribute their trajectories to service providers for analysis purposes. The work aims . . .

     

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