Toward the Routine Analysis of Diverse Data Types

Journal Article · Mon Dec 01 00:00:00 EST 2003 · Journal of Computational and Graphical Statistics, 12(4):915-926

DOI:https://doi.org/10.1198/1061860032535_a· OSTI ID:15010501

Whitney, Paul D; Cox, Dennis; Daly, Don S; Foote, Harlan P; McQuerry, Dennis L; Sloughter, James M

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.

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 15010501
• Report Number(s): PNNL-SA-38771
• Journal Information: Journal of Computational and Graphical Statistics, 12(4):915-926, Vol. 12, Issue 4; ISSN 1061--8600
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
statistics
data analysis
multimedia
scaling
model