In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
Environmental monitoring is one of the most important sensor network application domains. The success of those applications is determined by the quality of the collected data. Thu...
Kewei Sha, Guoxing Zhan, Safwan Al-Omari, Tim Cala...
Knowledge discovery and data correlation require a unified approach to basic data management. However, achieving such an approach is nearly impossible with hundreds of disparate d...
Daniel J. Crichton, J. Steven Hughes, Gregory J. D...
This paper presents an interactive visualization toolkit for navigating and analyzing the National Science Foundation (NSF) funding information. Our design builds upon the treemap...