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...
This paper introduces a new approach to database disk buffering, called the LRU–K method. The basic idea of LRU–K is to keep track of the times of the last K references to pop...
Elizabeth J. O'Neil, Patrick E. O'Neil, Gerhard We...
Mining generator patterns has raised great research interest in recent years. The main purpose of mining itemset generators is that they can form equivalence classes together with...
In this paper we investigate the utilization of nondedicated, opportunistic resources in a desktop environment to provide statistical assurances to a class of QoS sensitive, soft ...
Abstract. Good teachers know their students, and exploit this knowledge to adapt or optimise their instruction. Teachers know their students because they interact with them face-to...