Research into the Algorithm of Frequent Pattern Mining Based on Across Linker

被引：0
|
作者：
Zhao, Mingru [1 ]
Sun, Yuan [2 ]
Guo, Jian [2 ]
Dong, Pingping [2 ]
机构：
[1] Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
[2] Sch Iformat Beijing Wuzi Univ, Beijing, Peoples R China
来源：
MECHANICAL ENGINEERING AND INTELLIGENT SYSTEMS, PTS 1 AND 2 | 2012年 / 195-196卷
关键词：
Apriori algorithm; across linker; frequent itemset; association rules;
D O I：
10.4028/www.scientific.net/AMM.195-196.984
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Frequent itemsets mining is an important data mining task and a focused theme in data mining research. Apriori algorithm is one of the most important algorithm of mining frequent itemsets. However, the Apriori algorithm scans the database too many times, so its efficiency is relatively low. The paper has therefore conducted a research on the mining frequent itemsets algorithm based on a across linker. Through comparing with the classical algorithm, the improved algorithm has obvious advantages.
引用
收藏
页码：984 / +
页数：2
相关论文
共 50 条
  • [31] Survey on Frequent Pattern Mining Algorithm for Kernel Trace
    Tate, Aniket
    Bewoor, Laxmi
    2017 7TH IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2017, : 793 - 798
  • [32] An efficient mining algorithm for frequent pattern in intrusion detection
    Li, QH
    Xiong, JJ
    Yang, HB
    2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 138 - 142
  • [33] A Pattern Decomposition Algorithm for Data Mining of Frequent Patterns
    Zou, Qinghua
    Chu, Wesley
    Johnson, David
    Chiu, Henry
    Knowledge and Information Systems, 2002, 4 (04) : 466 - 482
  • [34] An Efficient Frequent Pattern Mining Algorithm for Data Stream
    Liu Hualei
    Lin Shukuan
    Qiao Jianzhong
    Yu Ge
    Lu Kaifu
    INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 1, PROCEEDINGS, 2008, : 757 - 761
  • [35] A novel algorithm of mining maximal frequent pattern based on projection sum tree
    Yang, Chuanyao
    Li, Yuqin
    Zhang, Chenghong
    Hu, Yunfa
    FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 1, PROCEEDINGS, 2007, : 458 - +
  • [36] A Directed Labeled Graph Frequent Pattern Mining Algorithm based on Minimum Code
    Li, Yuhua
    Lin, Quan
    Zhong, Gang
    Duan, Dongsheng
    Jin, Yanan
    Bi, Wei
    THIRD INTERNATIONAL CONFERENCE ON MULTIMEDIA AND UBIQUITOUS ENGINEERING (MUE 2009), 2009, : 353 - 359
  • [37] Frequent pattern mining algorithm for uncertain data streams based on sliding window
    Yang, Junrui
    Yang, Cai
    Wei, Yanjun
    2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 2, 2016, : 265 - 268
  • [38] MinMax: A new algorithm for maximal frequent pattern mining
    Wang, H
    Li, QH
    Jiang, SY
    Ma, CX
    7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VI, PROCEEDINGS: INFORMATION SYSTEMS, TECHNOLOGIES AND APPLICATIONS: I, 2003, : 19 - 21
  • [39] An indoor trajectory frequent pattern mining algorithm based on vague grid sequence
    Chen, Yi
    Yuan, Peisen
    Qiu, Ming
    Pi, Dechang
    EXPERT SYSTEMS WITH APPLICATIONS, 2019, 118 : 614 - 624
  • [40] Multi-resolution Keyword Mining Algorithm based on Frequent Pattern Technique
    Ji, Xiaodong
    ELECTRONIC-BUSINESS INTELLIGENCE: FOR CORPORATE COMPETITIVE ADVANTAGES IN THE AGE OF EMERGING TECHNOLOGIES & GLOBALIZATION, 2010, 14 : 463 - 468
12345