Data mining in distributed environment: a survey
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Justin Zhijun Zhan | Han-Chieh Chao | Wensheng Gan | Chun-Wei Lin | J. Zhan | H. Chao | Wensheng Gan | Chun-Wei Lin
[1] Ossama Younis,et al. Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach , 2004, IEEE INFOCOM 2004.
[2] Tzung-Pei Hong,et al. Fast updated frequent-itemset lattice for transaction deletion , 2015, Data Knowl. Eng..
[3] Srinivasan Parthasarathy,et al. Parallel Algorithms for Discovery of Association Rules , 1997, Data Mining and Knowledge Discovery.
[4] Mohammed J. Zaki,et al. SPADE: An Efficient Algorithm for Mining Frequent Sequences , 2004, Machine Learning.
[5] Huseyin Polat,et al. Privacy-preserving SOM-based recommendations on horizontally distributed data , 2012, Knowl. Based Syst..
[6] Matthias Klusch,et al. Distributed data mining and agents , 2005, Eng. Appl. Artif. Intell..
[7] Sheng Zhong,et al. Privacy-preserving algorithms for distributed mining of frequent itemsets , 2007, Inf. Sci..
[8] Qing He,et al. Parallel K-Means Clustering Based on MapReduce , 2009, CloudCom.
[9] Chris Clifton,et al. Tools for privacy preserving distributed data mining , 2002, SKDD.
[10] Masaru Kitsuregawa,et al. Mining Algorithms for Sequential Patterns in Parallel: Hash Based Approach , 1998, PAKDD.
[11] Jian Wang,et al. Mining Uncertain Sequential Patterns in Iterative MapReduce , 2015, PAKDD.
[12] Mohammed J. Zaki. Parallel Sequence Mining on Shared-Memory Machines , 1999, J. Parallel Distributed Comput..
[13] Qiming Chen,et al. PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth , 2001, Proceedings 17th International Conference on Data Engineering.
[14] Wenguang Chen,et al. GridGraph: Large-Scale Graph Processing on a Single Machine Using 2-Level Hierarchical Partitioning , 2015, USENIX ATC.
[15] Srinivasan Parthasarathy,et al. Parallel Data Mining for Association Rules on Shared-Memory Multi-Processors , 1996, Proceedings of the 1996 ACM/IEEE Conference on Supercomputing.
[16] Hoda Mashayekhi,et al. GDCluster: A General Decentralized Clustering Algorithm , 2015, IEEE Transactions on Knowledge and Data Engineering.
[17] Tzung-Pei Hong,et al. A lattice-based approach for mining most generalization association rules , 2013, Knowl. Based Syst..
[18] Xiaokui Xiao,et al. Large-scale frequent subgraph mining in MapReduce , 2014, 2014 IEEE 30th International Conference on Data Engineering.
[19] Huseyin Polat,et al. Privacy-preserving hybrid collaborative filtering on cross distributed data , 2011, Knowledge and Information Systems.
[20] Sotiris B. Kotsiantis,et al. Supervised Machine Learning: A Review of Classification Techniques , 2007, Informatica.
[21] Paul Geladi,et al. Principal Component Analysis , 1987, Comprehensive Chemometrics.
[22] Yichuan Jiang,et al. A Survey of Task Allocation and Load Balancing in Distributed Systems , 2016, IEEE Transactions on Parallel and Distributed Systems.
[23] Wei Lu,et al. CloudClustering: Toward an Iterative Data Processing Pattern on the Cloud , 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.
[24] Engelbert Mephu Nguifo,et al. CMRules: Mining sequential rules common to several sequences , 2012, Knowl. Based Syst..
[25] Changjie Tang,et al. PartSpan: Parallel Sequence Mining of Trajectory Patterns , 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.
[26] Cory J. Butz,et al. A Foundational Approach to Mining Itemset Utilities from Databases , 2004, SDM.
[27] Sanjay Ghemawat,et al. MapReduce: a flexible data processing tool , 2010, CACM.
[28] Min Luo,et al. Bootstrapping K-means for big data analysis , 2014, 2014 IEEE International Conference on Big Data (Big Data).
[29] Bernard Toursel,et al. Distributed Data Mining , 2001, Scalable Comput. Pract. Exp..
[30] Qing He,et al. Distributed data mining in grid computing environments , 2007, Future Gener. Comput. Syst..
[31] M. B. Malik,et al. Privacy Preserving Data Mining Techniques: Current Scenario and Future Prospects , 2012, 2012 Third International Conference on Computer and Communication Technology.
[32] Tzung-Pei Hong,et al. RWFIM: Recent weighted-frequent itemsets mining , 2015, Eng. Appl. Artif. Intell..
[33] Valerie Guralnik,et al. Parallel tree-projection-based sequence mining algorithms , 2004, Parallel Comput..
[34] Dong Hoon Lee,et al. Privacy-preserving disjunctive normal form operations on distributed sets , 2013, Inf. Sci..
[35] David A. Padua,et al. Parallel mining of closed sequential patterns , 2005, KDD '05.
[36] Tzung-Pei Hong,et al. A load-balanced distributed parallel mining algorithm , 2010, Expert Syst. Appl..
[37] Beng Chin Ooi,et al. Distributed data management using MapReduce , 2014, CSUR.
[38] Jie Zhao,et al. MapReduce-Based H-Mine Algorithm , 2015, 2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC).
[39] Idit Keidar,et al. Distributed data clustering in sensor networks , 2011, Distributed Computing.
[40] Philip S. Yu,et al. UP-Growth: an efficient algorithm for high utility itemset mining , 2010, KDD.
[41] Klaus Berberich,et al. Mind the gap: large-scale frequent sequence mining , 2013, SIGMOD '13.
[42] Maria-Florina Balcan,et al. Distributed PCA and k-Means Clustering , 2013 .
[43] Soon Myoung Chung,et al. Distributed Mining of Maximal Frequent Itemsets on a Data Grid System , 2006, The Journal of Supercomputing.
[44] Ray A. Jarvis,et al. Clustering Using a Similarity Measure Based on Shared Near Neighbors , 1973, IEEE Transactions on Computers.
[45] Andreas Mueller,et al. Fast sequential and parallel algorithms for association rule mining: a comparison , 1995 .
[46] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, ICANN.
[47] Bart Goethals,et al. Frequent Itemset Mining for Big Data , 2013, 2013 IEEE International Conference on Big Data.
[48] Philip S. Yu,et al. Data Mining: An Overview from a Database Perspective , 1996, IEEE Trans. Knowl. Data Eng..
[49] J. A. López del Val,et al. Principal Components Analysis , 2018, Applied Univariate, Bivariate, and Multivariate Statistics Using Python.
[50] Panos Kalnis,et al. Parallel motif extraction from very long sequences , 2013, CIKM.
[51] Edward Y. Chang,et al. Pfp: parallel fp-growth for query recommendation , 2008, RecSys '08.
[52] Elena Baralis,et al. P-Mine: Parallel itemset mining on large datasets , 2013, 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW).
[53] G. Karypis,et al. Parallel Algorithms for Mining Sequential Associations : Issues and Challenges , 2000 .
[54] Sergei Vassilvitskii,et al. Scalable K-Means++ , 2012, Proc. VLDB Endow..
[55] Hong Jiang,et al. VSFS: A Searchable Distributed File System , 2014, 2014 9th Parallel Data Storage Workshop.
[56] Ramakrishnan Srikant,et al. Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.
[57] Ting Yu,et al. DPcode: Privacy-Preserving Frequent Visual Patterns Publication on Cloud , 2016, IEEE Transactions on Multimedia.
[58] David A. Cieslak,et al. Troubleshooting Distributed Systems via Data Mining. , 2006 .
[59] Mohammed J. Zaki,et al. Arabesque: a system for distributed graph mining , 2015, SOSP.
[60] Lazaros Gkatzikis,et al. Migrate or not? exploiting dynamic task migration in mobile cloud computing systems , 2013, IEEE Wireless Communications.
[61] Kun Liu,et al. Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework , 2007, PKDD.
[62] Ming-Yen Lin,et al. Apriori-based frequent itemset mining algorithms on MapReduce , 2012, ICUIMC.
[63] Rainer Gemulla,et al. LASH: Large-Scale Sequence Mining with Hierarchies , 2015, SIGMOD Conference.
[64] Anthony K. H. Tung,et al. Efficiently extracting frequent subgraphs using MapReduce , 2013, 2013 IEEE International Conference on Big Data.
[65] K. Thangavel,et al. Distributed Data Clustering: A Comparative Analysis , 2009, Foundations of Computational Intelligence.
[66] David Wai-Lok Cheung,et al. Efficient Mining of Association Rules in Distributed Databases , 1996, IEEE Trans. Knowl. Data Eng..
[67] Feng Zhang,et al. Privacy-Preserving Two-Party Distributed Association Rules Mining on Horizontally Partitioned Data , 2013, 2013 International Conference on Cloud Computing and Big Data.
[68] Aoying Zhou,et al. Distributed Data Stream Clustering: A Fast EM-based Approach , 2007, 2007 IEEE 23rd International Conference on Data Engineering.
[69] Giuseppe Di Fatta,et al. Dynamic Load Balancing for the Distributed Mining of Molecular Structures , 2006, IEEE Transactions on Parallel and Distributed Systems.
[70] Xifeng Yan,et al. CloSpan: Mining Closed Sequential Patterns in Large Datasets , 2003, SDM.
[71] Eli Upfal,et al. PARMA: a parallel randomized algorithm for approximate association rules mining in MapReduce , 2012, CIKM.
[72] George Karypis,et al. Frequent subgraph discovery , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[73] David A. Cieslak,et al. Short Paper: Troubleshooting Distributed Systems via Data Mining , 2006, 2006 15th IEEE International Conference on High Performance Distributed Computing.
[74] Srinivasan Parthasarathy,et al. Parallel and distributed methods for incremental frequent itemset mining , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[75] S. R,et al. Data Mining with Big Data , 2017, 2017 11th International Conference on Intelligent Systems and Control (ISCO).
[76] Minghua Chen,et al. Enabling Multilevel Trust in Privacy Preserving Data Mining , 2011, IEEE Transactions on Knowledge and Data Engineering.
[77] R. Brightwell,et al. Differences Between Distributed and Parallel Systems , 1998 .
[78] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[79] Elena Baralis,et al. PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data , 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).
[80] Bin Shao,et al. Fast graph mining with HBase , 2015, Inf. Sci..
[81] Guillaume Pierre,et al. Challenges in very large distributed systems , 2011, Journal of Internet Services and Applications.
[82] Rakesh Agrawal,et al. Parallel Mining of Association Rules , 1996, IEEE Trans. Knowl. Data Eng..
[83] Reza Akbarinia,et al. A highly scalable parallel algorithm for maximally informative k-itemset mining , 2016, Knowledge and Information Systems.
[84] Masaru Kitsuregawa,et al. Hash based parallel algorithms for mining association rules , 1996, Fourth International Conference on Parallel and Distributed Information Systems.
[85] Ran Wolff,et al. Communication-Efficient Distributed Mining of Association Rules , 2001, SIGMOD '01.
[86] Andrew S. Tanenbaum,et al. Distributed systems: Principles and Paradigms , 2001 .
[87] Jiawei Han,et al. A fast distributed algorithm for mining association rules , 1996, Fourth International Conference on Parallel and Distributed Information Systems.
[88] Klara Nahrstedt,et al. Optimal resource allocation in wireless ad hoc networks: a price-based approach , 2006, IEEE Transactions on Mobile Computing.
[89] Vincent Cho,et al. Distributed Mining of Classification Rules , 2002, Knowledge and Information Systems.
[90] Chunxiao Jiang,et al. Information Security in Big Data: Privacy and Data Mining , 2014, IEEE Access.
[91] Weiming Shen,et al. A distributed frequent itemset mining algorithm using Spark for Big Data analytics , 2015, Cluster Computing.
[92] Wilson C. Hsieh,et al. Bigtable: A Distributed Storage System for Structured Data , 2006, TOCS.
[93] Reynold Xin,et al. GraphX: Graph Processing in a Distributed Dataflow Framework , 2014, OSDI.
[94] Keqiu Li,et al. Efficient $k$ -Means++ Approximation with MapReduce , 2014, IEEE Trans. Parallel Distributed Syst..
[95] Umeshwar Dayal,et al. FreeSpan: frequent pattern-projected sequential pattern mining , 2000, KDD '00.
[96] Srinivasan Parthasarathy,et al. Parallel algorithms for mining frequent structural motifs in scientific data , 2004, ICS '04.
[97] Ming-Syan Chen,et al. DFSP: a Depth-First SPelling algorithm for sequential pattern mining of biological sequences , 2012, Knowledge and Information Systems.
[98] Alberto Maria Segre,et al. Programs for Machine Learning , 1994 .
[99] Tamir Tassa,et al. Secure Mining of Association Rules in Horizontally Distributed Databases , 2011, IEEE Transactions on Knowledge and Data Engineering.
[100] Vipin Kumar,et al. Scalable parallel data mining for association rules , 1997, SIGMOD '97.
[101] Joseph K. Liu,et al. Toward efficient and privacy-preserving computing in big data era , 2014, IEEE Network.
[102] Liu Bi. Survey on distributed data mining , 2014 .
[103] Philip S. Yu,et al. Efficient parallel data mining for association rules , 1995, CIKM '95.
[104] Yuni Xia,et al. Distributed Sequential Pattern Mining in Large Scale Uncertain Databases , 2016, PAKDD.
[105] Rong Gu,et al. YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark , 2014, 2014 IEEE International Parallel & Distributed Processing Symposium Workshops.
[106] Manohar Kaul,et al. R-Apriori: An Efficient Apriori based Algorithm on Spark , 2015, PIKM@CIKM.
[107] Frans Coenen,et al. A new method for mining Frequent Weighted Itemsets based on WIT-trees , 2013, Expert Syst. Appl..
[108] Keqiu Li,et al. Optimized big data K-means clustering using MapReduce , 2014, The Journal of Supercomputing.
[109] Huajun Chen,et al. MapReduce-Based Pattern Finding Algorithm Applied in Motif Detection for Prescription Compatibility Network , 2009, APPT.
[110] Georgios B. Giannakis,et al. Distributed Clustering Using Wireless Sensor Networks , 2011, IEEE Journal of Selected Topics in Signal Processing.
[111] Ying Wah Teh,et al. Big Data Clustering: A Review , 2014, ICCSA.
[112] Aart J. C. Bik,et al. Pregel: a system for large-scale graph processing , 2010, SIGMOD Conference.
[113] Joseph Gonzalez,et al. PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs , 2012, OSDI.
[114] Hemanta Kumar Bhuyan,et al. Privacy preserving sub-feature selection in distributed data mining , 2015, Appl. Soft Comput..
[115] Muhammad Shiraz,et al. Big Data: Survey, Technologies, Opportunities, and Challenges , 2014, TheScientificWorldJournal.
[116] Tzung-Pei Hong,et al. An Incremental High-Utility Mining Algorithm with Transaction Insertion , 2015, TheScientificWorldJournal.
[117] Chun-Cheng Lin,et al. A fast and distributed algorithm for mining frequent patterns in congested networks , 2015, Computing.
[118] David A. Padua,et al. A sampling-based framework for parallel data mining , 2005, PPoPP.
[119] Ramakrishnan Srikant,et al. Mining Sequential Patterns: Generalizations and Performance Improvements , 1996, EDBT.
[120] Ramakrishnan Srikant,et al. Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.
[121] Mohammed J. Zaki,et al. A distributed approach for graph mining in massive networks , 2016, Data Mining and Knowledge Discovery.
[122] Thorsten Meinl,et al. Mining Molecular Datasets on Symmetric Multiprocessor Systems , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.
[123] 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).
[124] Jiawei Han,et al. BIDE: efficient mining of frequent closed sequences , 2004, Proceedings. 20th International Conference on Data Engineering.
[125] Pavel Berkhin,et al. A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.
[126] Howard J. Hamilton,et al. Interestingness measures for data mining: A survey , 2006, CSUR.
[127] Vincent S. Tseng,et al. RuleGrowth: mining sequential rules common to several sequences by pattern-growth , 2011, SAC.
[128] Ling Li,et al. Distributed data mining: a survey , 2012, Inf. Technol. Manag..
[129] Jiawei Han,et al. gSpan: graph-based substructure pattern mining , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[130] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[131] Lei Chen,et al. Optimal Resource Placement in Structured Peer-to-Peer Networks , 2010, IEEE Transactions on Parallel and Distributed Systems.
[132] Shaojie Qiao,et al. Parallel Sequential Pattern Mining of Massive Trajectory Data , 2010, Int. J. Comput. Intell. Syst..
[133] Jiming Liu,et al. Agent-based load balancing on homogeneous minigrids: macroscopic modeling and characterization , 2005, IEEE Transactions on Parallel and Distributed Systems.
[134] Eleonora Riva Sanseverino,et al. Distributed, Collaborative Data Analysis from Heterogeneous Sites Using a Scalable Evolutionary Technique , 2001, Applied Intelligence.
[135] Jianyong Wang,et al. Mining sequential patterns by pattern-growth: the PrefixSpan approach , 2004, IEEE Transactions on Knowledge and Data Engineering.
[136] Yichuan Jiang,et al. Understanding Social Networks From a Multiagent Perspective , 2014, IEEE Transactions on Parallel and Distributed Systems.
[137] Xindong Wu,et al. 10 Challenging Problems in Data Mining Research , 2006, Int. J. Inf. Technol. Decis. Mak..
[138] Charu C. Aggarwal,et al. A Tree Projection Algorithm for Generation of Frequent Item Sets , 2001, J. Parallel Distributed Comput..
[139] Chris Clifton,et al. Privacy-preserving distributed mining of association rules on horizontally partitioned data , 2004, IEEE Transactions on Knowledge and Data Engineering.
[140] Jeffrey Xu Yu,et al. Scalable sequential pattern mining for biological sequences , 2004, CIKM '04.
[141] Constantinos Kolias,et al. RuleMR: Classification rule discovery with MapReduce , 2014, 2014 IEEE International Conference on Big Data (Big Data).
[142] Michael J. Franklin,et al. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing , 2012, NSDI.
[143] Le Song,et al. Communication Efficient Distributed Kernel Principal Component Analysis , 2015, KDD.
[144] Salvatore J. Stolfo,et al. Adaptive Intrusion Detection: A Data Mining Approach , 2000, Artificial Intelligence Review.
[145] Tzung-Pei Hong,et al. An effective mining approach for up-to-date patterns , 2009, Expert Syst. Appl..
[146] Srinivasan Parthasarathy,et al. A Survey of Distributed Mining of Data Streams , 2007, Data Streams - Models and Algorithms.