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Title: 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}
}