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Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays

Publication ,  Journal Article
Liu, Y; Zhao, Y; Chen, L; Pei, J; Han, J
Published in: IEEE Transactions on Parallel and Distributed Systems
2011

Duke Scholars

Published In

IEEE Transactions on Parallel and Distributed Systems

Publication Date

2011

Volume

23

Start / End Page

2138 / 2149

Publisher

IEEE

Related Subject Headings

  • Distributed Computing
  • 4606 Distributed computing and systems software
  • 1005 Communications Technologies
  • 0805 Distributed Computing
  • 0803 Computer Software
 

Citation

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Chicago
ICMJE
MLA
NLM
Liu, Y., Zhao, Y., Chen, L., Pei, J., & Han, J. (2011). Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays. IEEE Transactions on Parallel and Distributed Systems, 23, 2138–2149.
Liu, Yunhao, Yiyang Zhao, Lei Chen, Jian Pei, and Jinsong Han. “Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays.” IEEE Transactions on Parallel and Distributed Systems 23 (2011): 2138–49.
Liu Y, Zhao Y, Chen L, Pei J, Han J. Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays. IEEE Transactions on Parallel and Distributed Systems. 2011;23:2138–49.
Liu, Yunhao, et al. “Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays.” IEEE Transactions on Parallel and Distributed Systems, vol. 23, IEEE, 2011, pp. 2138–49.
Liu Y, Zhao Y, Chen L, Pei J, Han J. Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays. IEEE Transactions on Parallel and Distributed Systems. IEEE; 2011;23:2138–2149.

Published In

IEEE Transactions on Parallel and Distributed Systems

Publication Date

2011

Volume

23

Start / End Page

2138 / 2149

Publisher

IEEE

Related Subject Headings

  • Distributed Computing
  • 4606 Distributed computing and systems software
  • 1005 Communications Technologies
  • 0805 Distributed Computing
  • 0803 Computer Software