Visual exploration of large data sets

Miron Livny; Raghu Ramakrishnan; Jussi Myllymaki

doi:10.1117/12.238724

22 April 1996 Visual exploration of large data sets

Miron Livny, Raghu Ramakrishnan, Jussi Myllymaki

Proceedings Volume 2657, Human Vision and Electronic Imaging; (1996) https://doi.org/10.1117/12.238724
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

DEVise is a data visualization and exploration system capable of handling large data sets using off-the-shelf hardware with minimal memory requirements. Data can be large in volume, complex in structure (multi-dimensional and/or hierarchical), and may be imported from different sources such as database servers, external programs, and World Wide Web resources. Commercial and scientific databases can also be linked to the DEVise to allow the user to visualize and analyze related information from heterogeneous sources. Associations between data sources are developed interactively as the user gains more knowledge of the data being explored. To assist in handling large data sets, DEVise allows a user to logically split the data into more manageable units at different levels. The user selects a data source, a data stream within a data source (e.g. a time series), attributes of a stream, and a mapping of attributes to graphical objects. At each step, the selections made by the user reduce the data volume. DEVise takes advantage of this form of 'data compression' to optimize its caching strategies and to minimize the accesses needed to fetch data from tertiary storage, for example. DEVise supports users with different expertise levels by automating most tasks performed by a novice user and by also providing a programming interface that allows new data sources to be defined, new graphical objects to be used, and custom storage policies to be employed.

Citation Download Citation

Miron Livny, Raghu Ramakrishnan, and Jussi Myllymaki "Visual exploration of large data sets", Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); https://doi.org/10.1117/12.238724

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available