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A vision for data science

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  • Chris A. Mattmann

    (Chris A. Mattmann is a senior computer scientist at the Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA, and adjunct assistant professor in computer science at the University of Southern California, Los Angeles, California 90089, USA.)

Abstract

To get the best out of big data, funding agencies should develop shared tools for optimizing discovery and train a new breed of researchers, says Chris A. Mattmann.

Suggested Citation

  • Chris A. Mattmann, 2013. "A vision for data science," Nature, Nature, vol. 493(7433), pages 473-475, January.
    • Handle: RePEc:nat:nature:v:493:y:2013:i:7433:d:10.1038_493473a
    DOI: 10.1038/493473a
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    Cited by:

    1. Daphne R. Raban & Avishag Gordon, 2020. "The evolution of data science and big data research: A bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1563-1581, March.
    2. Alberto Fernández & Sara Río & Abdullah Bawakid & Francisco Herrera, 2017. "Fuzzy rule based classification systems for big data with MapReduce: granularity analysis," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(4), pages 711-730, December.
    3. Le Zhang & Chunqiu Zheng & Tian Li & Lei Xing & Han Zeng & Tingting Li & Huan Yang & Jia Cao & Badong Chen & Ziyuan Zhou, 2017. "Building Up a Robust Risk Mathematical Platform to Predict Colorectal Cancer," Complexity, Hindawi, vol. 2017, pages 1-14, October.
    4. Joyce de Souza Zanirato Maia & Ana Paula Arantes Bueno & Joao Ricardo Sato, 2023. "Applications of Artificial Intelligence Models in Educational Analytics and Decision Making: A Systematic Review," World, MDPI, vol. 4(2), pages 1-26, May.
    5. Yan, Li & Cao, Huiying & Gao, Chao & Wang, Zhen & Li, Xuelong, 2023. "Mining of book-loan behavior based on coupling relationship analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).

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