Recent advances in mining time series data

被引：0
|
作者：
Keogh, E [1 ]
机构：
[1] Univ Calif Riverside, Dept Comp Sci & Engn, Riverside, CA 92521 USA
来源：
KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2005 | 2005年 / 3721卷
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：
引用
收藏
页码：6 / 6
页数：1
相关论文
共 50 条
  • [1] Recent advances in mining time series data
    Keogh, E
    MACHINE LEARNING: ECML 2005, PROCEEDINGS, 2005, 3720 : 6 - 6
  • [2] Recent advances in data mining
    Perner, P
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2006, 19 (04) : 361 - 362
  • [3] Recent Advances in Preserving Privacy Data Mining
    Yang, Gaoming
    Li, Jingzhao
    Zhang, Shunxiang
    ADVANCES IN APPLIED SCIENCE AND INDUSTRIAL TECHNOLOGY, PTS 1 AND 2, 2013, 798-799 : 541 - 544
  • [4] SOME RECENT ADVANCES IN TIME SERIES MODELING
    PARZEN, E
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) : 723 - 730
  • [5] Recent Advances in Energy Time Series Forecasting
    Martinez-Alvarez, Francisco
    Troncoso, Alicia
    Riquelme, Jose C.
    ENERGIES, 2017, 10 (06):
  • [6] Recent advances in mining patterns from complex data
    Appice, Annalisa
    Ceci, Michelangelo
    Loglisci, Corrado
    Manco, Giuseppe
    Masciari, Elio
    JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2016, 47 (01) : 1 - 3
  • [7] Data mining in medical time series
    Mikut, Ralf
    Reischl, Markus
    Burmeister, Ole
    Loose, Tobias
    BIOMEDIZINISCHE TECHNIK, 2006, 51 (5-6): : 288 - 293
  • [8] A review on time series data mining
    Fu, Tak-chung
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2011, 24 (01) : 164 - 181
  • [9] Recent Advances in Data Mining for Categorizing Text Records
    Chaovalitwongse, W.
    Pham, H.
    Hwang, S.
    Liang, Z.
    Pham, C. H.
    RECENT ADVANCES IN RELIABILITY AND QUALITY IN DESIGN, 2008, : 423 - +
  • [10] Process Mining for Time Series Data
    Ziolkowski, Tobias
    Koschmider, Agnes
    Schubert, Rene
    Renz, Matthias
    ENTERPRISE, BUSINESS-PROCESS AND INFORMATION SYSTEMS MODELING, 2022, 450 : 347 - 350
12345