Mining Actionable Partial Orders in Collections of Sequences
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[1] Jianyong Wang,et al. Mining sequential patterns by pattern-growth: the PrefixSpan approach , 2004, IEEE Transactions on Knowledge and Data Engineering.
[2] Xiangji Huang,et al. Comparison of interestingness functions for learning web usage patterns , 2002, CIKM '02.
[3] Mikhail J. Atallah,et al. Reliable detection of episodes in event sequences , 2004, Knowledge and Information Systems.
[4] Ramakrishnan Srikant,et al. Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.
[5] Philip S. Yu,et al. Discovering Frequent Closed Partial Orders from Strings , 2006, IEEE Transactions on Knowledge and Data Engineering.
[6] Mikhail J. Atallah,et al. Markov Models for Identification of Significant Episodes , 2005, SDM.
[7] Doron Rotem,et al. An Algorithm to Generate all Topological Sorting Arrangements , 1981, Computer/law journal.
[8] Mikhail J. Atallah,et al. Detection of significant sets of episodes in event sequences , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).
[9] Jayme Luiz Szwarcfiter,et al. A Structured Program to Generate all Topological Sorting Arrangements , 1974, Information Processing Letters.
[10] Frank Ruskey,et al. Generating Linear Extensions Fast , 1994, SIAM J. Comput..
[11] Xifeng Yan,et al. CloSpan: Mining Closed Sequential Patterns in Large Datasets , 2003, SDM.
[12] Gemma C. Garriga,et al. Summarizing Sequential Data with Closed Partial Orders , 2005, SDM.
[13] Zhe Wang,et al. Mining Maximal Sequential Patterns , 2005, 2005 International Conference on Neural Networks and Brain.
[14] Heikki Mannila,et al. Global partial orders from sequential data , 2000, KDD '00.
[15] Jiawei Han,et al. Frequent pattern mining: current status and future directions , 2007, Data Mining and Knowledge Discovery.
[16] Fabio Crestani,et al. Ranking Sequential Patterns with Respect to Significance , 2010, PAKDD.