Fast implementation of pattern mining algorithms with time stamp uncertainties and temporal constraints

[1]  Nidhal Rezg,et al.  Using Data Mining Methods for Predicting Sequential Maintenance Activities , 2018, Applied Sciences.

[2]  Jun-Ho Huh,et al.  An effective security measures for nuclear power plant using big data analysis approach , 2018, The Journal of Supercomputing.

[3]  Panos M. Pardalos,et al.  Extended vertical lists for temporal pattern mining from multivariate time series , 2018, Expert Syst. J. Knowl. Eng..

[4]  Jun-Ho Huh,et al.  Big Data Analysis for Personalized Health Activities: Machine Learning Processing for Automatic Keyword Extraction Approach , 2018, Symmetry.

[5]  Sanjay Rathee,et al.  Adaptive-Miner: an efficient distributed association rule mining algorithm on Spark , 2018, Journal of Big Data.

[6]  Lukasz Kowalik,et al.  RobustSPAM for Inference from Noisy Longitudinal Data and Preservation of Privacy , 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

[7]  Antonio Gomariz,et al.  The SPMF Open-Source Data Mining Library Version 2 , 2016, ECML/PKDD.

[8]  Junrui Yang,et al.  Frequent Pattern Mining Algorithm for Uncertain Data Streams Based on Sliding Window , 2016, 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).

[9]  Cui Yu,et al.  FB+-tree for Big Data Management , 2016, Big Data Res..

[10]  A. Vasilakos,et al.  Big data analytics: a survey , 2015, Journal of Big Data.

[11]  Yuval Shahar,et al.  Classification of multivariate time series via temporal abstraction and time intervals mining , 2015, Knowledge and Information Systems.

[12]  Jian Wang,et al.  Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases , 2015, PAKDD.

[13]  Lan Vu,et al.  A load balancing parallel method for frequent pattern mining on multi-core cluster , 2015, SpringSim.

[14]  Guangchen Ruan,et al.  Parallel and quantitative sequential pattern mining for large-scale interval-based temporal data , 2014, 2014 IEEE International Conference on Big Data (Big Data).

[15]  V. Uma,et al.  Mining Sequential Patterns for interval based events by applying multiple constraints , 2014 .

[16]  Alfredo Cuzzocrea,et al.  Mining constrained frequent itemsets from distributed uncertain data , 2014, Future Gener. Comput. Syst..

[17]  Ping Chen,et al.  Sequential Pattern Mining for Uncertain Data Streams using Sequential Sketch , 2014, J. Networks.

[18]  Roque Marín,et al.  Mining generalized temporal patterns based on fuzzy counting , 2013, Expert Syst. Appl..

[19]  Reynold Cheng,et al.  Efficient Mining of Frequent Item Sets on Large Uncertain Databases , 2012, IEEE Transactions on Knowledge and Data Engineering.

[20]  Tzung-Pei Hong,et al.  Temporal data mining with up-to-date pattern trees , 2011, Expert Syst. Appl..

[21]  Tak-Chung Fu,et al.  A review on time series data mining , 2011, Eng. Appl. Artif. Intell..

[22]  Shaojie Qiao,et al.  Parallel Sequential Pattern Mining of Massive Trajectory Data , 2010, Int. J. Comput. Intell. Syst..

[23]  Toon Calders,et al.  Efficient Pattern Mining of Uncertain Data with Sampling , 2010, PAKDD.

[24]  Tao Gu,et al.  Object relevance weight pattern mining for activity recognition and segmentation , 2010, Pervasive Mob. Comput..

[25]  Dimitrios Gunopulos,et al.  Mining frequent arrangements of temporal intervals , 2009, Knowledge and Information Systems.

[26]  Bin Huang,et al.  Algorithm for Mining Sequential Pattern in Time Series Data , 2009, 2009 WRI International Conference on Communications and Mobile Computing.

[27]  Jiayi Yao,et al.  The application of stream data time-series pattern reliance mining in stock market analysis , 2008, 2008 IEEE International Conference on Service Operations and Logistics, and Informatics.

[28]  Li Wei,et al.  Experiencing SAX: a novel symbolic representation of time series , 2007, Data Mining and Knowledge Discovery.

[29]  Dino Pedreschi,et al.  Trajectory pattern mining , 2007, KDD '07.

[30]  Jiawei Han,et al.  Frequent pattern mining: current status and future directions , 2007, Data Mining and Knowledge Discovery.

[31]  Yen-Liang Chen,et al.  Mining Nonambiguous Temporal Patterns for Interval-Based Events , 2007, IEEE Transactions on Knowledge and Data Engineering.

[32]  P. S. Sastry,et al.  A survey of temporal data mining , 2006 .

[33]  Suh-Yin Lee,et al.  Efficient mining of sequential patterns with time constraints by delimited pattern growth , 2005, Knowledge and Information Systems.

[34]  Francesco Bonchi,et al.  On closed constrained frequent pattern mining , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

[35]  Jiawei Han,et al.  BIDE: efficient mining of frequent closed sequences , 2004, Proceedings. 20th International Conference on Data Engineering.

[36]  Yasuma Mori,et al.  Design and Implementation of Parallel Modified PrefixSpan Method , 2003, ISHPC.

[37]  Mohammed J. Zaki,et al.  Fast vertical mining using diffsets , 2003, KDD '03.

[38]  Jian Pei,et al.  Mining sequential patterns with constraints in large databases , 2002, CIKM '02.

[39]  Johannes Gehrke,et al.  Sequential PAttern mining using a bitmap representation , 2002, KDD.

[40]  Jian Pei,et al.  Constrained frequent pattern mining: a pattern-growth view , 2002, SKDD.

[41]  Qiming Chen,et al.  PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth , 2001, Proceedings 17th International Conference on Data Engineering.

[42]  Johannes Gehrke,et al.  MAFIA: a maximal frequent itemset algorithm for transactional databases , 2001, Proceedings 17th International Conference on Data Engineering.

[43]  Wim Pijls,et al.  Classification Based upon Frequent Patterns , 2000, PRICAI Workshops.

[44]  Umeshwar Dayal,et al.  FreeSpan: frequent pattern-projected sequential pattern mining , 2000, KDD '00.

[45]  Mohammed J. Zaki Scalable Algorithms for Association Mining , 2000, IEEE Trans. Knowl. Data Eng..

[46]  Mohammed J. Zaki Parallel Sequence Mining on Shared-Memory Machines , 1999, J. Parallel Distributed Comput..

[47]  Nicolas Pasquier,et al.  Discovering Frequent Closed Itemsets for Association Rules , 1999, ICDT.

[48]  Roberto J. Bayardo,et al.  Efficiently mining long patterns from databases , 1998, SIGMOD '98.

[49]  Hannu Toivonen,et al.  Sampling Large Databases for Association Rules , 1996, VLDB.

[50]  Shamkant B. Navathe,et al.  An Efficient Algorithm for Mining Association Rules in Large Databases , 1995, VLDB.

[51]  Ramakrishnan Srikant,et al.  Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.

[52]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[53]  Richard E. Korf,et al.  Depth-First Iterative-Deepening: An Optimal Admissible Tree Search , 1985, Artif. Intell..

[54]  V. Reddy,et al.  CASW : Context Aware Sliding Window for Frequent Itemset Mining over Data Streams , 2017 .

[55]  Panagiotis Papapetrou,et al.  Learning from heterogeneous temporal data in electronic health records , 2017, J. Biomed. Informatics.

[56]  Milos Hauskrecht,et al.  An efficient pattern mining approach for event detection in multivariate temporal data , 2015, Knowledge and Information Systems.

[57]  Arthur Zimek,et al.  Frequent Pattern Mining Algorithms for Data Clustering , 2014, Frequent Pattern Mining.

[58]  Julia Tzu-Ya Weng,et al.  A novel algorithm for mining closed temporal patterns from interval-based data , 2014, Knowledge and Information Systems.

[59]  Jian Pei,et al.  Mining Frequent Patterns, Associations, and Correlations , 2012 .

[60]  Ruoming Jin,et al.  Frequent Pattern Mining in Data Streams , 2007, Frequent Pattern Mining.

[61]  J. 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).

[62]  Mohammed J. Zaki,et al.  SPADE: An Efficient Algorithm for Mining Frequent Sequences , 2004, Machine Learning.

[63]  Wu Xiao,et al.  CAPE—A Classification Algorithm Using Frequent Patterns over Data Streams , 2004 .

[64]  Fabrizio Silvestri,et al.  kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets , 2003, FIMI.

[65]  Xifeng Yan,et al.  CloSpan: Mining Closed Sequential Patterns in Large Datasets , 2003, SDM.

[66]  Donald Ervin Knuth,et al.  The Art of Computer Programming , 1968 .