Mining of Massive Datasets

被引：1
|
作者：
Richter, Lothar [1 ]
机构：
[1] Univ Munich, Dept Informat Tech, Garching, Germany
来源：
BIOMETRICS | 2018年 / 74卷 / 04期
关键词：
D O I：
10.1111/biom.12982
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
引用
收藏
页码：1520 / 1521
页数：2
相关论文
共 50 条
  • [1] Mining of massive datasets
    Rajaraman, Anand
    Ullman, Jeffrey David
    [J]. Mining of Massive Datasets, 2011, 9781107015357 : 1 - 315
  • [2] Data mining of massive datasets in healthcare
    Goodall, CR
    [J]. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 1999, 8 (03) : 620 - 634
  • [3] Mining of Massive Datasets. Third Edition
    Layton, Anita
    Sadria, Mehrshad
    [J]. SIAM REVIEW, 2021, 63 (03) : 649 - 650
  • [4] Interactive visual mining of massive multidimensional datasets
    Mihalisin, T
    Timlin, J
    [J]. MINING AND MODELING MASSIVE DATA SETS IN SCIENCE, ENGINEERING, AND BUSINESS WITH A SUBTHEME IN ENVIRONMENTAL STATISTICS, 1997, 29 (01): : 450 - 455
  • [5] Cataloging and mining massive datasets for science data analysis
    Fayyad, UM
    Smyth, P
    [J]. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 1999, 8 (03) : 589 - 610
  • [6] Mining High Utility Itemsets in Massive Transactional Datasets
    Thi, Vu Due
    Nguyen Huy Due
    [J]. ACTA CYBERNETICA, 2011, 20 (02): : 331 - 346
  • [7] Massive datasets
    Kettenring, Jon R.
    [J]. WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, 2009, 1 (01) : 25 - 32
  • [8] Efficient parallel data mining for massive datasets: Parallel random forests classifier
    Dai, JY
    Lee, J
    Wang, MC
    [J]. PDPTA '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS, VOLS 1-3, 2005, : 1142 - 1148
  • [9] A novel parallel algorithm for frequent itemsets mining in massive small files datasets
    [J]. Zhang, Z. (zhangzl@swu.edu.cn), 1600, ICIC Express Letters Office, Tokai University, Kumamoto Campus, 9-1-1, Toroku, Kumamoto, 862-8652, Japan (05):
  • [10] iSAX: disk-aware mining and indexing of massive time series datasets
    Shieh, Jin
    Keogh, Eamonn
    [J]. DATA MINING AND KNOWLEDGE DISCOVERY, 2009, 19 (01) : 24 - 57
12345