A Survey of Sequential Pattern Mining
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Yun Sing Koh | Jerry Chun-Wei Lin | Philippe Fournier-Viger | R. Uday Kiran | Rincy Thomas | Philippe Fournier-Viger | Jerry Chun‐wei Lin | R. U. Kiran | Rincy Thomas
[1] Byeong-Soo Jeong,et al. A Novel Approach for Mining High‐Utility Sequential Patterns in Sequence Databases , 2010 .
[2] Nizar R. Mabroukeh,et al. A taxonomy of sequential pattern mining algorithms , 2010, CSUR.
[3] A. Akhmetova. Discovery of Frequent Episodes in Event Sequences , 2006 .
[4] José Francisco Martínez Trinidad,et al. A New Algorithm for Fast Discovery of Maximal Sequential Patterns in a Document Collection , 2006, CICLing.
[5] Tzung-Pei Hong,et al. Updating the Sequential Patterns in Dynamic Databases for Customer Sequences Deletion , 2015 .
[6] Jian Wang,et al. Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases , 2015, PAKDD.
[7] Tzung-Pei Hong,et al. Applying the maximum utility measure in high utility sequential pattern mining , 2014, Expert Syst. Appl..
[8] Pinar Senkul,et al. CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction , 2015, IEEE Transactions on Knowledge and Data Engineering.
[9] Maguelonne Teisseire,et al. Incremental mining of sequential patterns in large databases , 2003, Data Knowl. Eng..
[10] Wilfred Ng,et al. Mining Probabilistically Frequent Sequential Patterns in Large Uncertain Databases , 2014, IEEE Transactions on Knowledge and Data Engineering.
[11] Wei-Hua Hao,et al. Fast mining maximal sequential patterns , 2007 .
[12] Longbing Cao,et al. USpan: an efficient algorithm for mining high utility sequential patterns , 2012, KDD.
[13] Mohammed J. Zaki,et al. CHARM: An Efficient Algorithm for Closed Itemset Mining , 2002, SDM.
[14] Vincent S. Tseng,et al. Efficient Mining of High-Utility Sequential Rules , 2015, MLDM.
[15] Zhenglu Yang,et al. LAPIN-SPAM: An Improved Algorithm for Mining Sequential Pattern , 2005, 21st International Conference on Data Engineering Workshops (ICDEW'05).
[16] Antonio Gomariz,et al. VGEN: Fast Vertical Mining of Sequential Generator Patterns , 2014, DaWaK.
[17] Bart Goethals,et al. Survey on Frequent Pattern Mining , 2003 .
[18] Maguelonne Teisseire,et al. Mining closed partially ordered patterns, a new optimized algorithm , 2015, Knowl. Based Syst..
[19] Tzung-Pei Hong,et al. DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets , 2012, Expert Syst. Appl..
[20] Francesco Bonchi,et al. Pushing Tougher Constraints in Frequent Pattern Mining , 2005, PAKDD.
[21] Longbing Cao,et al. Mining Partially-Ordered Sequential Rules Common to Multiple Sequences , 2015, IEEE Trans. Knowl. Data Eng..
[22] Ramakrishnan Srikant,et al. Fast algorithms for mining association rules , 1998, VLDB 1998.
[23] Antonio Gomariz,et al. SPMF: a Java open-source pattern mining library , 2014, J. Mach. Learn. Res..
[24] Jianyong Wang,et al. Mining sequential patterns by pattern-growth: the PrefixSpan approach , 2004, IEEE Transactions on Knowledge and Data Engineering.
[25] Vincent S. Tseng,et al. FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning , 2014, ISMIS.
[26] Jiawei Han,et al. gSpan: graph-based substructure pattern mining , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[27] T. Hong,et al. Mining fuzzy sequential patterns from multiple-item transactions , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
[28] Antonio Gomariz,et al. TKS: Efficient Mining of Top-K Sequential Patterns , 2013, ADMA.
[29] Suh-Yin Lee,et al. Incremental Mining of Sequential Patterns over a Stream Sliding Window , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).
[30] Mohammed J. Zaki,et al. SPADE: An Efficient Algorithm for Mining Frequent Sequences , 2004, Machine Learning.
[31] Vincent S. Tseng,et al. ERMiner: Sequential Rule Mining Using Equivalence Classes , 2014, IDA.
[32] Won Suk Lee,et al. Finding recent frequent itemsets adaptively over online data streams , 2003, KDD '03.
[33] Patrick Meyer,et al. Association Rule Interestingness Measures: Experimental and Theoretical Studies , 2007, Quality Measures in Data Mining.
[34] Maria E. Orlowska,et al. Improvements of IncSpan: Incremental Mining of Sequential Patterns in Large Database , 2005, PAKDD.
[35] Yeong-Chyi Lee,et al. Actionable high-coherent-utility fuzzy itemset mining , 2014, Soft Comput..
[36] Yuanyuan Zhang,et al. An effective algorithm for mining sequential generators , 2011 .
[37] Mengchi Liu,et al. Mining high utility itemsets without candidate generation , 2012, CIKM.
[38] Yue-Shi Lee,et al. Incremental and interactive mining of web traversal patterns , 2008, Inf. Sci..
[39] Young-Koo Lee,et al. Discovering Periodic-Frequent Patterns in Transactional Databases , 2009, PAKDD.
[40] Yanchang Zhao,et al. Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns , 2009, AusDM.
[41] Xifeng Yan,et al. CloSpan: Mining Closed Sequential Patterns in Large Datasets , 2003, SDM.
[42] Panida Songram,et al. Closed Multidimensional Sequential Pattern Mining , 2006, Third International Conference on Information Technology: New Generations (ITNG'06).
[43] Suhardi,et al. Anomaly-based intrusion detection and prevention system on website usage using rule-growth sequential pattern analysis: Case study: Statistics of Indonesia (BPS) website , 2014, 2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA).
[44] François Rioult,et al. Efficiently Depth-First Minimal Pattern Mining , 2014, PAKDD.
[45] Soon Myoung Chung,et al. Efficient Mining of Maximal Sequential Patterns Using Multiple Samples , 2005, SDM.
[46] Rajeev Raman,et al. Mining sequential patterns from probabilistic databases , 2011, Knowledge and Information Systems.
[47] P. Krishna Reddy,et al. Mining Rare Periodic-Frequent Patterns Using Multiple Minimum Supports , 2009, COMAD.
[48] Chadia Moghrabi,et al. Authorship Attribution Using Small Sets of Frequent Part-of-Speech Skip-grams , 2016, FLAIRS.
[49] Roque Marín,et al. ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences , 2013, PAKDD.
[50] Jian Pei,et al. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).
[51] Jian Pei,et al. Constraint-based sequential pattern mining: the pattern-growth methods , 2007, Journal of Intelligent Information Systems.
[52] Salvatore Orlando,et al. Fast and memory efficient mining of frequent closed itemsets , 2006, IEEE Transactions on Knowledge and Data Engineering.
[53] Laks V. S. Lakshmanan,et al. Pushing Convertible Constraints in Frequent Itemset Mining , 2004, Data Mining and Knowledge Discovery.
[54] Jiawei Han,et al. IncSpan: incremental mining of sequential patterns in large database , 2004, KDD.
[55] Masaru Kitsuregawa,et al. Efficient discovery of periodic-frequent patterns in very large databases , 2016, J. Syst. Softw..
[56] Tzung-Pei Hong,et al. MSGPs: A Novel Algorithm for Mining Sequential Generator Patterns , 2012, ICCCI.
[57] Laks V. S. Lakshmanan,et al. Mining frequent itemsets with convertible constraints , 2001, Proceedings 17th International Conference on Data Engineering.
[58] Umeshwar Dayal,et al. Multi-dimensional sequential pattern mining , 2001, CIKM '01.
[59] Tak-Chung Fu,et al. A review on time series data mining , 2011, Eng. Appl. Artif. Intell..
[60] Rajeev Raman,et al. On Probabilistic Models for Uncertain Sequential Pattern Mining , 2010, ADMA.
[61] Suh-Yin Lee,et al. Improving the efficiency of interactive sequential pattern mining by incremental pattern discovery , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.
[62] Jianyong Wang,et al. Efficient mining of frequent sequence generators , 2008, WWW.
[63] Céline Fiot,et al. From Crispness to Fuzziness: Three Algorithms for Soft Sequential Pattern Mining , 2007, IEEE Transactions on Fuzzy Systems.
[64] Umeshwar Dayal,et al. FreeSpan: frequent pattern-projected sequential pattern mining , 2000, KDD '00.
[65] Kyuseok Shim,et al. SPIRIT: Sequential Pattern Mining with Regular Expression Constraints , 1999, VLDB.
[66] Fábio Porto,et al. Spatial Sequential Pattern Mining for Seismic Data , 2016, SBBD.
[67] Charu C. Aggarwal,et al. Data Mining: The Textbook , 2015 .
[68] Vincent S. Tseng,et al. Mining Top-K Sequential Rules , 2011, ADMA.
[69] Engelbert Mephu Nguifo,et al. A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems , 2008, MICAI.
[70] Emmanuel Viennet,et al. bitSPADE: A Lattice-based Sequential Pattern Mining Algorithm Using Bitmap Representation , 2006, Sixth International Conference on Data Mining (ICDM'06).
[71] Lei Chang,et al. SeqStream: Mining Closed Sequential Patterns over Stream Sliding Windows , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[72] Vincent S. Tseng,et al. Mining Top-K Association Rules , 2012, Canadian Conference on AI.
[73] Mohammad Al Hasan,et al. An Iterative MapReduce Based Frequent Subgraph Mining Algorithm , 2013, IEEE Transactions on Knowledge and Data Engineering.
[74] Albrecht Zimmermann,et al. Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data , 2014, Intell. Data Anal..
[75] Amedeo Napoli,et al. A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes , 2013, Annals of Mathematics and Artificial Intelligence.
[76] Hans Friedrich Witschel,et al. Using Consumer Behavior Data to Reduce Energy Consumption in Smart Homes: Applying Machine Learning to Save Energy without Lowering Comfort of Inhabitants , 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).
[77] Won Suk Lee,et al. Efficient mining method for retrieving sequential patterns over online data streams , 2005, J. Inf. Sci..
[78] Nicolas Pasquier,et al. Discovering Frequent Closed Itemsets for Association Rules , 1999, ICDT.
[79] Vincent S. Tseng,et al. Using Partially-Ordered Sequential Rules to Generate More Accurate Sequence Prediction , 2012, ADMA.
[80] Joong Hyuk Chang,et al. Mining weighted sequential patterns in a sequence database with a time-interval weight , 2011, Knowl. Based Syst..
[81] Vincent S. Tseng,et al. Novel Concise Representations of High Utility Itemsets Using Generator Patterns , 2014, ADMA.
[82] Hayato Yamana,et al. Generalized Sequential Pattern Mining with Item Intervals , 2006, J. Comput..
[83] Tzung-Pei Hong,et al. Incrementally updating the discovered sequential patterns based on pre-large concept , 2015, Intell. Data Anal..
[84] Jian Wang,et al. Mining Uncertain Sequential Patterns in Iterative MapReduce , 2015, PAKDD.
[85] Unil Yun,et al. WSpan: Weighted Sequential pattern mining in large sequence databases , 2006, 2006 3rd International IEEE Conference Intelligent Systems.
[86] Zhe Wang,et al. Mining Maximal Sequential Patterns , 2005, 2005 International Conference on Neural Networks and Brain.
[87] Michelangelo Ceci,et al. CloFAST: closed sequential pattern mining using sparse and vertical id-lists , 2016, Knowledge and Information Systems.
[88] Eamonn J. Keogh,et al. iSAX 2.0: Indexing and Mining One Billion Time Series , 2010, 2010 IEEE International Conference on Data Mining.
[89] Jorma Rissanen,et al. The Minimum Description Length Principle in Coding and Modeling , 1998, IEEE Trans. Inf. Theory.
[90] Heinz Ulrich Hoppe,et al. Resource Access Patterns in Exam Preparation Activities , 2015, EC-TEL.
[91] Mohammed J. Zaki. Scalable Algorithms for Association Mining , 2000, IEEE Trans. Knowl. Data Eng..
[92] Hongjun Lu,et al. H-mine: hyper-structure mining of frequent patterns in large databases , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[93] Li Wei,et al. Experiencing SAX: a novel symbolic representation of time series , 2007, Data Mining and Knowledge Discovery.
[94] Hiroki Arimura,et al. LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets , 2004, FIMI.
[95] Sanjay Chawla,et al. Sequential Pattern Mining with Constraints on Large Protein Databases , 2005, COMAD.
[96] Manuel Campos,et al. Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information , 2014, PAKDD.
[97] Frans Coenen,et al. A survey of frequent subgraph mining algorithms , 2012, The Knowledge Engineering Review.
[98] Won Suk Lee,et al. CP-tree: An adaptive synopsis structure for compressing frequent itemsets over online data streams , 2014, Inf. Sci..
[99] Donato Malerba,et al. FAST Sequence Mining Based on Sparse Id-Lists , 2011, ISMIS.
[100] Ramakrishnan Srikant,et al. Mining Sequential Patterns: Generalizations and Performance Improvements , 1996, EDBT.
[101] Chia-Hui Chang,et al. COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach , 2006, DaWaK.
[102] Ramakrishnan Srikant,et al. Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.
[103] Philip S. Yu,et al. Discovering Frequent Closed Partial Orders from Strings , 2006, IEEE Transactions on Knowledge and Data Engineering.
[104] Jia-Dong Ren,et al. Mining Weighted Closed Sequential Patterns in Large Databases , 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.
[105] Yanchang Zhao,et al. An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns , 2010, PAKDD.
[106] Antonio Gomariz,et al. The SPMF Open-Source Data Mining Library Version 2 , 2016, ECML/PKDD.
[107] Jinyan Li,et al. Mining and Ranking Generators of Sequential Patterns , 2008, SDM.
[108] Mohammed J. Zaki,et al. Prism: An effective approach for frequent sequence mining via prime-block encoding , 2010, J. Comput. Syst. Sci..
[109] Philippe Fournier-Viger,et al. PHM: Mining Periodic High-Utility Itemsets , 2016, ICDM.
[110] Yinglin Wang,et al. CCSpan: Mining closed contiguous sequential patterns , 2015, Knowl. Based Syst..
[111] M. Teisseire,et al. SPEED : Mining Maxirnal Sequential Patterns over Data Strearns , 2006, 2006 3rd International IEEE Conference Intelligent Systems.
[112] Tzung-Pei Hong,et al. A fast Algorithm for mining fuzzy frequent itemsets , 2015, J. Intell. Fuzzy Syst..
[113] Longbing Cao,et al. e-NSP: Efficient negative sequential pattern mining , 2016, Artif. Intell..
[114] Jiawei Han,et al. Frequent Closed Sequence Mining without Candidate Maintenance , 2007, IEEE Transactions on Knowledge and Data Engineering.
[115] Ming-Yen Lin,et al. Mining Negative Sequential Patterns for E-commerce Recommendations , 2008, 2008 IEEE Asia-Pacific Services Computing Conference.
[116] Johannes Gehrke,et al. Sequential PAttern mining using a bitmap representation , 2002, KDD.
[117] Antonio Gomariz,et al. VMSP: Efficient Vertical Mining of Maximal Sequential Patterns , 2014, Canadian Conference on AI.
[118] Vincent S. Tseng,et al. Mining Maximal Sequential Patterns without Candidate Maintenance , 2013, ADMA.
[119] Hoai Bac Le,et al. MHHUSP: An integrated algorithm for mining and Hiding High Utility Sequential Patterns , 2016, 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE).
[120] Srinivasan Parthasarathy,et al. Incremental and interactive sequence mining , 1999, CIKM '99.
[121] Alessandro Colantonio,et al. EXPEDITE: EXPress closED ITemset Enumeration , 2015, Expert Syst. Appl..