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
  • [21] "Big data" from the perspective of data sources
    Pavlicek, Antonin
    Novak, Richard
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON STRATEGIC MANAGEMENT AND ITS SUPPORT BY INFORMATION SYSTEMS, 2015, : 454 - 462
  • [22] From Data Quality to Big Data Quality
    Batini, Carlo
    Rula, Anisa
    Scannapieco, Monica
    Viscusi, Gianluigi
    JOURNAL OF DATABASE MANAGEMENT, 2015, 26 (01) : 60 - 82
  • [23] Toward Compact Data from Big Data
    Kim, Song-Kyoo
    INTERNATIONAL CONFERENCE FOR INTERNET TECHNOLOGY AND SECURED TRANSACTIONS (ICITST-2020), 2020, : 154 - 158
  • [24] From Big Data to Knowledge: An Ontological Approach to Big Data Analytics
    Kuiler, Erik W.
    REVIEW OF POLICY RESEARCH, 2014, 31 (04) : 311 - 318
  • [25] From Big Data to Big Artificial Intelligence?Algorithmic Challenges and Opportunities of Big Data
    Kristian Kersting
    Ulrich Meyer
    KI - Künstliche Intelligenz, 2018, 32 (1) : 3 - 8
  • [26] The Concept of Love From the Perspectives of Big Data and Corpus Semantics: Meaning, Reference, and Metaphor
    Arik, Engin
    Arik, Beril T.
    STUDIES IN PSYCHOLOGY-PSIKOLOJI CALISMALARI DERGISI, 2019, 39 (01): : 151 - 178
  • [27] Data science for oceanography: from small data to big data
    Qian, Chengcheng
    Huang, Baoxiang
    Yang, Xueqing
    Chen, Ge
    BIG EARTH DATA, 2022, 6 (02) : 236 - 250
  • [28] From Big Data to Smart Data: A Data Quality Perspective
    Baldassarre, Maria Teresa
    Caballero, Ismael
    Caivano, Danilo
    Garcia, Bibiano Rivas
    Piattini, Mario
    PROCEEDINGS OF THE 1ST ACM SIGSOFT INTERNATIONAL WORKSHOP ON ENSEMBLE-BASED SOFTWARE ENGINEERING (ENSEMBLE '18), 2018, : 19 - 24
  • [29] From Big Data to Big Information and Big Knowledge: the Case of Earth Observation Data
    Bereta, Konstantina
    Koubarakis, Manolis
    Manegold, Stefan
    Stamoulis, George
    Demir, Beguem
    CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2018, : 2293 - 2294
  • [30] Big Data Needs Big Dreamers: Lessons from Successful Big Data Investors
    Simoudis, Evangelos
    Gorenberg, Mark
    Guleri, Tim
    Ocko, Matt
    Sands, Greg
    KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2016, : 11 - 12
12345