Cite

Mao Guojun, Duan Lijuan, Wang Shi et al. The first edition of data mining principles and algorithms, Beijing Tsinghua University Press. 2005: 156-162.GuojunMaoLijuanDuanShiWangThe first edition of data mining principles and algorithmsBeijingTsinghua University Press2005156162Search in Google Scholar

Rakesh Agrawal, Tomasz Imieliński, Arun Swami. Mining association rules between sets of items in large databases[J]. ACM SIGMOD Record, 1993,22(2).AgrawalRakeshImielińskiTomaszSwamiArunMining association rules between sets of items in large databases[J]ACM SIGMOD Record199322(2)10.1145/170035.170072Search in Google Scholar

FENG Yucai, FENG Jianlin. Incremental Updating Algorithm for Association Rules[J]. Journal of Software, 1998, 9 (4): 301.YucaiFENGJianlinFENGIncremental Updating Algorithm for Association Rules[J]Journal of Software19989(4):301Search in Google Scholar

Yuan Changan, Data mining theory and SPSS clementine jewel [M]. Beijing: Publishing House of Electronics Industry, 2009.ChanganYuanData mining theory and SPSS clementine jewel [M]BeijingPublishing House of Electronics Industry2009Search in Google Scholar

XIE Peng-jun. Study on Parallelization of Frequent Item sets Mining Algorithm Based on MapReduce [D]. Nanjing: Nanjing University, 2012.XIEPeng-jun.Study on Parallelization of Frequent Item sets Mining Algorithm Based on MapReduce [D]NanjingNanjing University2012Search in Google Scholar

SHI Liang, QIAN Xue-zhong. Study and Implementation of Parallel FP-Growth AlgorithmBased on Hadoop [J]. Microelectronics and Computer, 2015, 4 (4):150.LiangSHIXue-zhongQIANStudy and Implementation of Parallel FP-Growth AlgorithmBased on Hadoop [J]Microelectronics and Computer20154(4):150Search in Google Scholar

Incremental maintenance of discovered association rules and approximate dependencies[J]. Alain Pérez-Alonso, Ignacio J. Blanco Medina, Luisa M. González-González, José M. Serrano Chica. Intelligent Data Analysis. 2017(1): 117.Incremental maintenance of discovered association rules and approximate dependencies[J]Pérez-AlonsoAlainBlanco MedinaIgnacio J.González-GonzálezLuisa M.Serrano ChicaJosé M.Intelligent Data Analysis2017(1):11710.3233/IDA-150434Search in Google Scholar

JES_US R, CAMPA~NA, JUAN M,et,al. Indexing fuzzy numerical data with a B+ tree for fast retrieval using necessity-measured flexible conditions[J]. World Scientic, 2009,17(1):1.JES_USRCAMPA~NAJUANMIndexing fuzzy numerical data with a B+ tree for fast retrieval using necessity-measured flexible conditions[J]World Scientic200917(1):1Search in Google Scholar

HU Yanbo,ZHONG Jun. Based on clustering B + tree database index optimization algorithm [J]. Computer Applications, 2013,33 (9): 2474.YanboHUJunZHONGBased on clustering B + tree database index optimization algorithm [J]Computer Applications201333(9):247410.3724/SP.J.1087.2013.02474Search in Google Scholar

David W. Cheung, Jiawei Han. Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique. In Proc of the Twelfth International Conference on Data Engineering, 1996.USA: IEEE, 1996(3):106-114.CheungDavid W.HanJiaweiMaintenance of Discovered Association Rules in Large Databases: An Incremental Updating TechniqueIn Proc of the Twelfth International Conference on Data Engineering1996USAIEEE1996(3):10611410.1109/ICDE.1996.492094Search in Google Scholar

Chen Fengjuan.Vertical Data Format Mining of Probabilistic Data Sets[J].Journal of Anyang Teachers College,2016(02):41-43+69.FengjuanChenVertical Data Format Mining of Probabilistic Data Sets[J]Journal of Anyang Teachers College2016(02):4143+69Search in Google Scholar

Wang Yingqiang, Shi Yongsheng.Application of B+ Tree in Database Indexing[J].Journal of Yangtze University,2008,3(5):233.YingqiangWangYongshengShiApplication of B+ Tree in Database Indexing[J]Journal of Yangtze University20083(5):233Search in Google Scholar

Chen Xiaojiang, Huang Yucan, et al. Numerical analysis. Beijing: Science and Technology Press.XiaojiangChenYucanHuangNumerical analysisBeijingScience and Technology PressSearch in Google Scholar

Alan Sexton,Hayo Thielecke. Reasoning about B+ Trees with Operational Semantics and Separation Logic[J]. Electronic Notes in Theoretical Computer Science,2008,218.SextonAlanThieleckeHayoReasoning about B+ Trees with Operational Semantics and Separation Logic[J]Electronic Notes in Theoretical Computer Science200821810.1016/j.entcs.2008.10.021Search in Google Scholar

HyunyoonYun,DanshimHa,BuhyunHwang,et al. Mining association rules on significant rare data using relative support[J]. The Journal of Systems & Software,2003,67(3).YunHyunyoonHaDanshimHwangBuhyunMining association rules on significant rare data using relative support[J]The Journal of Systems & Software200367(3)10.1016/S0164-1212(02)00128-0Search in Google Scholar

Jia Wang,HongguangLi,JingwenHuang,et al. Association rules mining based analysis of consequential alarm sequences in chemical processes[J]. Journal of Loss Prevention in the Process Industries,2016,41.WangJiaLiHongguangHuangJingwenet alAssociation rules mining based analysis of consequential alarm sequences in chemical processes[J]Journal of Loss Prevention in the Process Industries20164110.1016/j.jlp.2016.03.022Search in Google Scholar

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