Toward the Routine Analysis of Diverse Data Types
Abstract
It is a great time to be a data analyst. The variety and quantity of data, in digitized forms, are increasing. The growth of computer networking and the corresponding use of the network via the World Wide Web have provided, in the form of text, a large dynamic information store. There is wide access to more financial data than can typically be understood. Digital imagery is on the rise; an explosion in the amount of digital video is forthcoming. And, information from scientific instruments is provided across a network with increasing frequency. However, data analysis tools and the corresponding theory are not keeping pace with this scale and diversity of data.
- Authors:
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 15010501
- Report Number(s):
- PNNL-SA-38771
Journal ID: ISSN 1061--8600
- DOE Contract Number:
- AC05-76RL01830
- Resource Type:
- Journal Article
- Journal Name:
- Journal of Computational and Graphical Statistics, 12(4):915-926
- Additional Journal Information:
- Journal Volume: 12; Journal Issue: 4; Journal ID: ISSN 1061--8600
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; statistics; data analysis; multimedia; scaling; model
Citation Formats
Whitney, Paul D, Cox, Dennis, Daly, Don S, Foote, Harlan P, McQuerry, Dennis L, and Sloughter, James M. Toward the Routine Analysis of Diverse Data Types. United States: N. p., 2003.
Web. doi:10.1198/1061860032535_a.
Whitney, Paul D, Cox, Dennis, Daly, Don S, Foote, Harlan P, McQuerry, Dennis L, & Sloughter, James M. Toward the Routine Analysis of Diverse Data Types. United States. https://doi.org/10.1198/1061860032535_a
Whitney, Paul D, Cox, Dennis, Daly, Don S, Foote, Harlan P, McQuerry, Dennis L, and Sloughter, James M. 2003.
"Toward the Routine Analysis of Diverse Data Types". United States. https://doi.org/10.1198/1061860032535_a.
@article{osti_15010501,
title = {Toward the Routine Analysis of Diverse Data Types},
author = {Whitney, Paul D and Cox, Dennis and Daly, Don S and Foote, Harlan P and McQuerry, Dennis L and Sloughter, James M},
abstractNote = {It is a great time to be a data analyst. The variety and quantity of data, in digitized forms, are increasing. The growth of computer networking and the corresponding use of the network via the World Wide Web have provided, in the form of text, a large dynamic information store. There is wide access to more financial data than can typically be understood. Digital imagery is on the rise; an explosion in the amount of digital video is forthcoming. And, information from scientific instruments is provided across a network with increasing frequency. However, data analysis tools and the corresponding theory are not keeping pace with this scale and diversity of data.},
doi = {10.1198/1061860032535_a},
url = {https://www.osti.gov/biblio/15010501},
journal = {Journal of Computational and Graphical Statistics, 12(4):915-926},
issn = {1061--8600},
number = 4,
volume = 12,
place = {United States},
year = {Mon Dec 01 00:00:00 EST 2003},
month = {Mon Dec 01 00:00:00 EST 2003}
}
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