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...
Rate based congestion control has been considered desirable, both to deal with the high bandwidth-delay products of today's high speed networks, and to match the needs of eme...
Given a collection of complex, time-stamped events, how do we find patterns and anomalies? Events could be meetings with one or more persons with one or more agenda items at zero ...
Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, ...
This paper extends our previous work by exploring the use of a hybrid solution method for solving the connection subgraph problem. We employ a two phase solution method, which dras...
Carla P. Gomes, Willem Jan van Hoeve, Ashish Sabha...
: As cloud services grow to span more and more globally distributed datacenters, there is an increasingly urgent need for automated mechanisms to place application data across thes...
Sharad Agarwal, John Dunagan, Navendu Jain, Stefan...