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
  • [41] Adversarial Dropout for Supervised and Semi-Supervised Learning
    Park, Sungrae
    Park, JunKeon
    Shin, Su-Jin
    Moon, Il-Chul
    THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2018, : 3917 - 3924
  • [42] Supervised and semi-supervised machine learning ranking
    Vittaut, Jean-Noel
    Gallinari, Patrick
    COMPARATIVE EVALUATION OF XML INFORMATION RETRIEVAL SYSTEMS, 2007, 4518 : 213 - 222
  • [43] Multi-relational learning, text mining, and semi-supervised learning for functional genomics
    Krogel, MA
    Scheffer, T
    MACHINE LEARNING, 2004, 57 (1-2) : 61 - 81
  • [44] Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics
    Mark-A. Krogel
    Tobias Scheffer
    Machine Learning, 2004, 57 : 61 - 81
  • [45] Semi-supervised classification with privileged information
    Qi, Zhiquan
    Tian, Yingjie
    Niu, Lingfeng
    Wang, Bo
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2015, 6 (04) : 667 - 676
  • [46] Semi-supervised classification with privileged information
    Zhiquan Qi
    Yingjie Tian
    Lingfeng Niu
    Bo Wang
    International Journal of Machine Learning and Cybernetics, 2015, 6 : 667 - 676
  • [47] Semi-supervised Multivariate Sequential Pattern Mining
    Xu, Zhao
    Funaya, Koichi
    Chen, Haifeng
    Leoni, Sergio
    NEW FRONTIERS IN MINING COMPLEX PATTERNS, 2016, 9607 : 211 - 223
  • [48] Statistical Models for Unsupervised, Semi-Supervised, and Supervised Transliteration Mining
    Sajjad, Hassan
    Schmid, Helmut
    Fraser, Alexander
    Schuetze, Hinrich
    COMPUTATIONAL LINGUISTICS, 2017, 43 (02) : 349 - 375
  • [49] Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions
    Chen, Ke
    Wang, Shihai
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2011, 33 (01) : 129 - 143
  • [50] Semi-supervised Neighborhood Preserving Discriminant Embedding: A Semi-supervised Subspace Learning Algorithm
    Mehdizadeh, Maryam
    MacNish, Cara
    Khan, R. Nazim
    Bennamoun, Mohammed
    COMPUTER VISION - ACCV 2010, PT III, 2011, 6494 : 199 - +
12345