Big data: Distilling meaning from data

被引：0
|
作者：
Felice Frankel
Rosalind Reid
机构：
[1] Felice Frankel is senior research fellow in the faculty of arts and sciences at Harvard University,
[2] Cambridge,undefined
[3] Massachusetts 02138,undefined
[4] USA. With G. M. Whitesides,undefined
[5] she is co-author of On the Surface of Things: Images of the Extraordinary in Science. felice_frankel@harvard.edu ,undefined
[6] Rosalind Reid is executive director of the Initiative in Innovative Computing at Harvard University and former Editor of American Scientist.,undefined
来源：
Nature | 2008年 / 455卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Buried in vast streams of data are clues to new science. But we may need to craft new lenses to see them, explain Felice Frankel and Rosalind Reid.
引用
下载
收藏
页码：30 / 30
相关论文
共 50 条
  • [1] Big data: Distilling meaning from data
    Frankel, Felice
    Reid, Rosalind
    NATURE, 2008, 455 (7209) : 30 - 30
  • [2] Educational big data: extracting meaning from data for smart education
    Chen, Nian-Shing
    Yin, Chengjiu
    Isaias, Pedro
    Psotka, Joseph
    INTERACTIVE LEARNING ENVIRONMENTS, 2020, 28 (02) : 142 - 147
  • [3] Big Data: Its Meaning
    Reed, Pamela G.
    NURSING SCIENCE QUARTERLY, 2018, 31 (01) : 77 - 77
  • [4] Big data and meaning: methodological innovations
    Bhui, K. S.
    EPIDEMIOLOGY AND PSYCHIATRIC SCIENCES, 2015, 24 (02) : 144 - 145
  • [5] Discovering the Language of Data: Personal Pattern Languages and the Social Construction of Meaning from Big Data
    Erwin, Kim
    Bond, Maggee
    Jain, Aashika
    INTERDISCIPLINARY SCIENCE REVIEWS, 2015, 40 (01) : 44 - 60
  • [6] Distilling data into code
    Bakarji, Joseph
    NATURE COMPUTATIONAL SCIENCE, 2024, 4 (02): : 92 - 93
  • [7] Distilling data into code
    Joseph Bakarji
    Nature Computational Science, 2024, 4 : 92 - 93
  • [8] BIG DATA: COMMUNICATING OUTSIDE THE MEDIUM OF MEANING
    Rapaport, Herman
    SYMPLOKE, 2016, 24 (1-2) : 447 - 457
  • [9] From Big Data Technologies to Big Data Benefits
    Jensen, Maria Hoffmann
    Nielsen, Peter Axel
    Persson, John Stouby
    COMPUTER, 2023, 56 (06) : 52 - 61
  • [10] Data learning from big data
    Torrecilla, Jose L.
    Romo, Juan
    STATISTICS & PROBABILITY LETTERS, 2018, 136 : 15 - 19
12345