Information mining with semi-supervised learning

被引：0
|
作者：
Klose, A [1 ]
Kruse, R [1 ]
机构：
[1] Otto Von Guericke Univ, Dept Comp Sci, Magdeburg, Germany
来源：
SOFT METHODOLOGY AND RANDOM INFORMATION SYSTEMS | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The challenge of analyzing huge amounts of data is usually known as Data Mining, and a number of methods has been proposed for that purpose. However, the application areas and thus the characteristics of the data are changing. More complex and heterogeneous data call for more sophisticated algorithms. In this paper we present some of the current trends and challenges. We illustrate, why we expect an increasing interest in semi-supervised methods, especially in combination with fuzzy techniques.
引用
收藏
页码：67 / 74
页数：8
相关论文
共 50 条
  • [21] A survey on semi-supervised learning
    Jesper E. van Engelen
    Holger H. Hoos
    Machine Learning, 2020, 109 : 373 - 440
  • [22] Semi-supervised Sequence Learning
    Dai, Andrew M.
    Le, Quoc V.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 28 (NIPS 2015), 2015, 28
  • [23] Label Information Guided Graph Construction for Semi-Supervised Learning
    Zhuang, Liansheng
    Zhou, Zihan
    Gao, Shenghua
    Yin, Jingwen
    Lin, Zhouchen
    Ma, Yi
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 26 (09) : 4182 - 4192
  • [24] Semi-supervised learning by disagreement
    Zhi-Hua Zhou
    Ming Li
    Knowledge and Information Systems, 2010, 24 : 415 - 439
  • [25] Semi-Supervised Incremental Learning
    Bouchachia, Abdelhamid
    Prossegger, Markus
    Duman, Hakan
    2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010), 2010,
  • [26] Dense Information Learning Based Semi-Supervised Object Detection
    Yang, Xi
    Li, Penghui
    Zhou, Qiubai
    Wang, Nannan
    Gao, Xinbo
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2025, 34 : 1022 - 1035
  • [27] The study of semi-supervised learning algorithm for web information classification
    Liu, Lizhen
    Li, Zhiping
    Ma, Yun
    Journal of Information and Computational Science, 2010, 7 (05): : 1031 - 1038
  • [28] Deep Semi-Supervised Learning
    Hailat, Zeyad
    Komarichev, Artem
    Chen, Xue-Wen
    2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2018, : 2154 - 2159
  • [29] Semi-Supervised Learning by Disagreement
    Zhou, Zhi-Hua
    2008 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2, 2008, : 93 - 93
  • [30] Reliable Semi-supervised Learning
    Shao, Junming
    Huang, Chen
    Yang, Qinli
    Luo, Guangchun
    2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2016, : 1197 - 1202
12345