[1] PENG W C, CHEN M S. Developing data allocation schemes by incremental mining of user moving patterns in a mobile computing system[J]. IEEE Transactions on Knowledge & Data Engineering, 2003, 15(1):70-85. [2] 陈勐, 刘洋, 王月,等. 基于时序特征的移动模式挖掘[J]. 中国科学信息科学, 2016, 46(9): 1288-1297. [3] 李雄, 马修军, 王晨星,等. 城市居民时空行为序列模式挖掘方法[J]. 地理与地理信息科学, 2009, 25(2): 10-14. [4] LI Z H, DING B L, HAN J W, et al. Mining periodic behaviors for moving objects[C]// Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington: ACM Press, 2010: 1099-1108. [5] YAVA��塁 G, KATSAROS D, ULUSOY , et al. A data mining approach for location prediction in mobile environments [J]. Data & Knowledge Engineering, 2005, 54(2): 121-146. [6] LI Z H, HAN J W, JI M, et al. MoveMine: Mining moving object data for discovery of animal movement patterns[J]. ACM Transactions on Intelligent Systems & Technology, 2011, 2(4): No. 37(1-32). [7] HUNG C C, PENG W C, LEE W C. Clustering and aggregating clues of trajectories for mining trajectory patterns and routes[J]. The VLDB Journal, 2015, 24(2):169-192. [8] LEE J G, HAN J W, LI X L. A unifying framework of mining trajectory patterns of various temporal tightness[J]. Knowledge & Data Engineering IEEE Transactions on, 2015, 27(6):1478-1490. [9] 王亮, 汪梅, 郭鑫颖,等. 面向移动时空轨迹数据的频繁闭合模式挖掘[J]. 西安科技大学学报, 2016, 36(4): 573-576. [10] HUANG Q Y, LI Z L, LI J, et al. Mining frequent trajectory patterns from online footprints[C]// Proceedings of the ACM SIGSPATIAL International Workshop on Geostreaming. Burlinggame, USA: ACM Press, 2016: No. 10(1-7). [11] LEE J W, PAEK O H, RYU K H. Temporal moving pattern mining for location-based service[J]. Journal of Systems & Software, 2004, 73(3):481-490. [12] Qiu M, Pi D. Mining Frequent Trajectory Patterns in Road Network Based on Similar Trajectory[M]// Intelligent Data Engineering and Automated Learning: IDEAL 2016, Springer International Publishing, 2016. [13] 刘素杰. 时间标识的移动对象频繁模式发现[D]. 徐州:中国矿业大学, 2014.
[14] AGRAWAL R, SRIKANT R. Mining sequential patterns[C]// Proceedings of the 7th International Conference on Data Engineering. Taipei, China: IEEE Press, 1995:3-14. [15] 王虎, 丁世飞. 序列模式挖掘研究与发展[J]. 计算机科学, 2009, 36(12): 14-17. [16] RAO V C S, SAMMULAL P. Survey on sequential pattern mining algorithms[J]. International Journal of Computer Applications, 2013, 76(12): 24-31. [17] SRIKANT R, AGRAWAL R. Mining sequential patterns: Generalizations and performance improvements[C]// Proceedings of the 5th International Conference on Extending Database Technology. London: Springer, 1996: 3-17. [18] HAN J W, PEI J, MORTAZAVI-ASL B, et al. FreeSpan: Frequent pattern-projected sequential pattern mining[C]// Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Boston: ACM Press, 2000: 355-359. [19] PEI J, HAN J W, MORTAZAVI-ASL B, et al. PrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth[C]// Proceedings of the 17th International Conference on Data Engineering. Heidelberg, Germany: IEEE Press, 2001: 215-224. [20] LIU J, YAN S, REN J. The design of frequent sequence tree in incremental mining of sequential patterns[C]// Proceedings of the 2nd International Conference on Software Engineering and Service Science. Beijing: IEEE Press, 2011: 679-682. [21] Reality Commoms[EB/OL]. [2017-05-06]http://realitycommons.media.mit.edu/realitymining.html. [22] System Data[EB/OL]. [2017-05-06]https://www.citibikenyc.com/system-data.
() ( |