Mining scientific data

被引:55
|
作者
Fayyad, U
Haussler, D
Stolorz, P
机构
[1] CALTECH,JET PROP LAB,TECH GRP,PASADENA,CA 91125
[2] UNIV CALIF SANTA CRUZ,SANTA CRUZ,CA 95064
基金
美国国家科学基金会;
关键词
D O I
10.1145/240455.240471
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Digesting millions of data points, each with tens or hundreds of measurements - generally beyond a scientist's human capability - can be turned over to data mining techniques for data reduction, which functions as an interface between the scientist and large datasets.
引用
收藏
页码:51 / 57
页数:7
相关论文
共 50 条
  • [41] Data mining approach in scientific research organizations evaluation via clustering
    Liu, JL
    Li, JP
    Xu, WX
    Shi, Y
    DATA MINING AND KNOWLEDGE MANAGEMENT, 2004, 3327 : 128 - 134
  • [42] On the use of perceptual cues and data mining for effective visualization of scientific datasets
    Healey, CG
    GRAPHICS INTERFACE '98 - PROCEEDINGS, 1998, : 177 - 184
  • [43] On mining scientific datasets
    Kamath, C
    DATA MINING FOR SCIENTIFIC AND ENGINEERING APPLICATIONS, 2001, 2 : 1 - 21
  • [44] SCIENTIFIC DISCOVERY AS MINING
    ZHAO, HZ
    JIANG, GH
    SPECULATIONS IN SCIENCE AND TECHNOLOGY, 1986, 9 (02) : 139 - 151
  • [45] Engineering and Mining Journal, Mining and Scientific Press and Mining Magazine
    Read, Thomas T.
    POLITICAL SCIENCE QUARTERLY, 1933, 48 (02) : 317 - 318
  • [46] How to Handle Error Bars in Symbolic Regression for Data Mining in Scientific Applications
    Murari, A.
    Peluso, E.
    Gelfusa, M.
    Lungaroni, M.
    Gaudio, P.
    STATISTICAL LEARNING AND DATA SCIENCES, 2015, 9047 : 347 - 355
  • [47] Using the bibliometric analysis to evaluate global scientific production of data mining papers
    Deng, Shuang
    Tian, Yangge
    Zhang, Hao
    FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS, 2009, : 233 - +
  • [48] Data mining model for scientific research classification: the case of digital workplace accessibility
    Nacheva, Radka
    Czaplewski, Maciej
    Petrov, Pavel
    DECISION, 2024, 51 (01) : 3 - 16
  • [49] Using pretraining and text mining methods to automatically extract the chemical scientific data
    Pang, Na
    Qian, Li
    Lyu, Weimin
    Yang, Jin-Dong
    DATA TECHNOLOGIES AND APPLICATIONS, 2022, 56 (02) : 205 - 222
  • [50] A Text Mining based strategy for understanding the process of Orientation in scientific data repositories
    Moreira, Tales H. J.
    Dias, Thiago M. R.
    Moita, Gray F.
    Dias, Patricia M.
    2017 12TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2017,