A Subsequence Interleaving Model for Sequential Pattern Mining
暂无分享,去创建一个
[1] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[2] Christopher D. Manning,et al. Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..
[3] Heikki Mannila,et al. Global partial orders from sequential data , 2000, KDD '00.
[4] Dimitrios Gunopulos,et al. Discovering frequent arrangements of temporal intervals , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[5] Mikhail J. Atallah,et al. Markov Models for Identification of Significant Episodes , 2005, SDM.
[6] Robert B. Ash,et al. Information Theory , 2020, The SAGE International Encyclopedia of Mass Media and Society.
[7] Dmitriy Fradkin,et al. Robust Mining of Time Intervals with Semi-interval Partial Order Patterns , 2010, SDM.
[8] Umeshwar Dayal,et al. PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth , 2001, ICDE 2001.
[9] Niels Landwehr,et al. Modeling interleaved hidden processes , 2008, ICML '08.
[10] Johannes Gehrke,et al. Sequential PAttern mining using a bitmap representation , 2002, KDD.
[11] Mohammed J. Zaki,et al. SPADE: An Efficient Algorithm for Mining Frequent Sequences , 2004, Machine Learning.
[12] Amedeo Napoli,et al. Sequential pattern mining and classification of patient path , 2004 .
[13] Mihai Surdeanu,et al. The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.
[14] Ian H. Witten,et al. Identifying Hierarchical Structure in Sequences: A linear-time algorithm , 1997, J. Artif. Intell. Res..
[15] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[16] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[17] L. Goddard. Information Theory , 1962, Nature.
[18] Andreas Stolcke,et al. Hidden Markov Model} Induction by Bayesian Model Merging , 1992, NIPS.
[19] Takeaki Uno,et al. Frequent Pattern Mining , 2016, Encyclopedia of Algorithms.
[20] Vasek Chvátal,et al. A Greedy Heuristic for the Set-Covering Problem , 1979, Math. Oper. Res..
[21] Jilles Vreeken,et al. The long and the short of it: summarising event sequences with serial episodes , 2012, KDD.
[22] Nir Friedman,et al. The Bayesian Structural EM Algorithm , 1998, UAI.
[23] Jian Pei,et al. MAPO: Mining and Recommending API Usage Patterns , 2009, ECOOP.
[24] Ramakrishnan Srikant,et al. Mining Sequential Patterns: Generalizations and Performance Improvements , 1996, EDBT.
[25] Toon Calders,et al. Mining Compressing Sequential Patterns , 2012, Stat. Anal. Data Min..
[26] Carla E. Brodley,et al. KDD-Cup 2000 organizers' report: peeling the onion , 2000, SKDD.
[27] Tao Luo,et al. Using sequential and non-sequential patterns in predictive Web usage mining tasks , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[28] Frank D. Wood,et al. The sequence memoizer , 2011, Commun. ACM.
[29] Qiming Chen,et al. PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth , 2001, Proceedings 17th International Conference on Data Engineering.
[30] Miao Wang,et al. Sequential Pattern Mining for Protein Function Prediction , 2008, ADMA.
[31] Jiawei Han,et al. BIDE: efficient mining of frequent closed sequences , 2004, Proceedings. 20th International Conference on Data Engineering.
[32] Ramakrishnan Srikant,et al. Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.