In this paper we describe a trace analysis framework, from trace generation to visualization. It includes a unified tracing facility on IBM® SP™ systems, a self-defining interv...
Ching-Farn Eric Wu, Anthony Bolmarcich, Marc Snir,...
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
We present a new generative model for relational data in which relations between objects can have either a binding or a separating effect. For example, in a group of students sep...
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
Clustering is an important characteristic of most sensor applications. In this paper we define COSMOS, the Cluster-based, heterOgeneouS MOdel for Sensor networks. The model assum...