Volume 45 Issue 1
Feb.  2016
Article Contents

NIU Xin-zheng, NIU Jia-jun, SU Da-zhuang, SHE Kun. FP-Tree-Based Approach for Frequent Trajectory Pattern Mining[J]. Journal of University of Electronic Science and Technology of China, 2016, 45(1): 86-90. doi: 10.3969/j.issn.1001-0548.2016.01.014
Citation: NIU Xin-zheng, NIU Jia-jun, SU Da-zhuang, SHE Kun. FP-Tree-Based Approach for Frequent Trajectory Pattern Mining[J]. Journal of University of Electronic Science and Technology of China, 2016, 45(1): 86-90. doi: 10.3969/j.issn.1001-0548.2016.01.014

FP-Tree-Based Approach for Frequent Trajectory Pattern Mining

doi: 10.3969/j.issn.1001-0548.2016.01.014
  • Publish Date: 2016-02-15
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    [8] PEI Jian, HAN Jia-wei, MAO run-ying. CLOSET: an efficient algorithm for mining frequent closed itemsets[C]//Proceedings of the 5th ACM-SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. Dallas, USA: ACM, 2000: 11-20.
    [9] MILIARAKI I, BERBERICH K, GEMULLA R, et al. Mind the gap large-scale frequent sequence mining[C]//Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data. New York, USA: ACM 2013: 797-808.
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    [13] GENG Xiao-liang, ARIMURA H, UNO T. Pattern mining from trajectory GPS data[C]//2012 IIAI International Conference on Advanced Applied Informatics. Fukuoka, USA: IEEE, 2012: 60-65.
    [14] LIANG Wan-ga, HUA Kunyuan, TAO Ku, et al. Mining frequent trajectory pattern based on vague space partition[J]. Knowledge-Based Systems, 2013, 50: 100-111.
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FP-Tree-Based Approach for Frequent Trajectory Pattern Mining

doi: 10.3969/j.issn.1001-0548.2016.01.014
NIU Xin-zheng, NIU Jia-jun, SU Da-zhuang, SHE Kun. FP-Tree-Based Approach for Frequent Trajectory Pattern Mining[J]. Journal of University of Electronic Science and Technology of China, 2016, 45(1): 86-90. doi: 10.3969/j.issn.1001-0548.2016.01.014
Citation: NIU Xin-zheng, NIU Jia-jun, SU Da-zhuang, SHE Kun. FP-Tree-Based Approach for Frequent Trajectory Pattern Mining[J]. Journal of University of Electronic Science and Technology of China, 2016, 45(1): 86-90. doi: 10.3969/j.issn.1001-0548.2016.01.014
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