Solving design and analysis problems in physical worlds requires the representatio n of large amounts of knowledge. Recently, there has been much interest in explicitly making ass...
Sanjaya Addanki, Roberto Cremonini, J. Scott Penbe...
The deluge of huge data sets such as those provided by
sensor networks, online transactions, and the web provide
exciting opportunities for data analysis. The scale of the
data ...
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
Users of modern GUIs routinely engage in visual searches for various control items, such as buttons and icons. Because this is so ubiquitous, it is important that the visual prope...