Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Web sites allow the collection of vast amounts of navigational data – clickstreams of user traversals through the site. These massive data stores offer the tantalizing possibil...
Kaushik Dutta, Debra E. VanderMeer, Anindya Datta,...
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
High-end solid state disks (SSDs) provide much faster access to data compared to conventional hard disk drives. We present a technique for using solid-state storage as a caching l...
Mustafa Canim, George A. Mihaila, Bishwaranjan Bha...
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...