Introduction
- 1 December 2007
- journal article
- Published by Association for Computing Machinery (ACM) in ACM SIGKDD Explorations Newsletter
- Vol. 9 (2) , 3-4
- https://doi.org/10.1145/1345448.1345450
Abstract
The information overload is a well-known phenomenon of the information age, since due to the progress in computer power and storage capacity over the last decades, data is produced at an incredible rate, and our ability to collect and store these data is increasing at a faster rate than our ability to analyze it. But, the analysis of these massive, typically messy and inconsistent, volumes of data is crucial in many application domains. For decision makers, analysts or emergency response teams it is an essential task to rapidly extract relevant information from the flood of data.Keywords
This publication has 2 references indexed in Scilit:
- Challenges in Visual Data AnalysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Information visualization and visual data miningIEEE Transactions on Visualization and Computer Graphics, 2002