Mining maximal frequent itemsets in uncertain data

被引：0
|
作者：
Tang, Xianghong [1 ]
Yang, Quanwei [1 ]
Zheng, Yang [1 ]
机构：
[1] Key Laboratory of Advanced Manufacturing Technology of Ministry of Education, Guizhou University, Guiyang,550003, China
来源：
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2015年 / 43卷 / 09期
关键词：
Compendex;
D O I：
10.13245/j.hust.150906
中图分类号：
学科分类号：
摘要：
Data mining
引用
收藏
页码：29 / 34
相关论文
共 50 条
  • [21] A Mining Maximal Frequent Itemsets over the Entire History of Data Streams
    Mao, Yinmin
    Li, Hong
    Yang, Lumin
    Chen, Zhigang
    Liu, Lixin
    FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS, 2009, : 413 - 417
  • [22] Mining maximal frequent itemsets in a sliding window over data streams
    Mao Y.
    Li H.
    Yang L.
    Liu L.
    Gaojishu Tongxin/Chinese High Technology Letters, 2010, 20 (11): : 1142 - 1148
  • [23] Scalable algorithm for mining maximal frequent itemsets
    Li, QH
    Wang, H
    He, Y
    Jiang, SY
    2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 143 - 146
  • [24] Fast algorithm for mining maximal frequent itemsets
    Ma, Lisheng
    Deng, Huiwen
    PROCEEDINGS OF THE FIRST INTERNATIONAL SYMPOSIUM ON DATA, PRIVACY, AND E-COMMERCE, 2007, : 86 - +
  • [25] An efficient algorithm for mining maximal frequent itemsets over data streams
    Mao Y.
    Yang L.
    Li H.
    Chen Z.
    Liu L.
    Gaojishu Tongxin/Chinese High Technology Letters, 2010, 20 (03): : 246 - 252
  • [26] Recent Weighted Maximal Frequent Itemsets Mining
    Subbulakshmi, B.
    Dharini, B.
    Deisy, C.
    2017 INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC), 2017, : 391 - 397
  • [27] Research on Mining Global Maximal Frequent Itemsets for Health Big Data
    He, Bo
    Pei, Jianhui
    2017 IEEE 3RD INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC), 2017, : 1143 - 1146
  • [28] Online mining (recently) maximal frequent itemsets over data streams
    Li, H.-F. (hfli@csie.nctu.edu.tw), IEEE Computer Society Tech. Committee on Data Eng., TCDE (Institute of Electrical and Electronics Engineers Computer Society):
  • [29] Efficiently Mining Maximal Diverse Frequent Itemsets
    Wu, Dingming
    Luo, Dexin
    Jensen, Christian S.
    Huang, Joshua Zhexue
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS (DASFAA 2019), PT II, 2019, 11447 : 191 - 207
  • [30] An algorithm for mining frequent itemsets on uncertain dataset
    Wang, Shui, 1600, Transport and Telecommunication Institute, Lomonosova street 1, Riga, LV-1019, Latvia (18):
12345