Frequent itemsets mining based on concept lattice and sliding window

被引：0
|
作者：
Chang-Sheng, Zhang [1 ,2 ,3 ]
Jing, Ruan [4 ]
Hai-Long, Huang [3 ]
long-Chang, Li [3 ]
Bing-Ru, Yang [1 ,2 ]
机构：
[1] School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China
[2] Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, 100083, China
[3] College of Physics and Electronic Information Engineering, Wenzhou University, Zhejiang, 325035, China
[4] Wenzhou Vocational and Technical College, Zhejiang, 325035, China
来源：
Telkomnika - Indonesian Journal of Electrical Engineering | 2013年 / 11卷 / 08期
关键词：
14;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：4780 / 4787
相关论文
共 50 条
  • [31] Finding, Frequent Closed Itemsets in Sliding Window in Linear Time
    Chen, Junbo
    Zhou, Bo
    Chen, Lu
    Wang, Xinyu
    Ding, Yiqun
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2008, E91D (10): : 2406 - 2418
  • [32] Mining Top-k Frequent-regular Itemsets from Data Streams Based on Sliding Window Technique
    Mesama, Tashinee
    Amphawan, Komate
    2018 5TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATICS: CONCEPTS, THEORY AND APPLICATIONS (ICAICTA 2018), 2018, : 224 - 230
  • [33] Frequent closed itemsets lattice used in data mining
    Cheng, ZH
    Jia, L
    Pei, RQ
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 1745 - 1748
  • [34] Mining association rules with frequent closed itemsets lattice
    Jia, L
    Yao, J
    Pei, RQ
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2003, 2773 : 469 - 475
  • [35] A Variable Sliding Window Algorithm Based on Concept Drift for Frequent Pattern Mining Over Data Streams*
    Yin, Yue
    Li, Peng
    Chen, Jing
    2022 IEEE 28TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS, ICPADS, 2022, : 818 - 825
  • [36] A frequent pattern mining algorithm based on concept lattice
    School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, BJ10, China
    不详
    不详
    不详
    Sensors Transducers, 2013, 9 (351-359):
  • [37] Variable slide window based frequent itemsets mining algorithm on large data streams
    Zhu, Xiao-Dong
    Huang, Zhi-Qiu
    Shen, Guo-Hua
    Yuan, Min
    Kongzhi yu Juece/Control and Decision, 2009, 24 (06): : 832 - 836
  • [38] Moment: Maintaining closed frequent itemsets over a stream sliding window
    Chi, Y
    Wang, HX
    Yu, PS
    Muntz, RR
    FOURTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 2004, : 59 - 66
  • [39] Mining updated frequent itemsets based on directed itemsets graph
    Wen Lei
    Li Min-qiang
    Proceedings of 2004 Chinese Control and Decision Conference, 2004, : 690 - 693
  • [40] Mining top-k frequent closed itemsets over data streams using the sliding window model
    Tsai, Pauray S. M.
    EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (10) : 6968 - 6973
12345