Abstract— This paper presents an exploration framework which performs data assignment and access scheduling exploration for applications given a multilayer memory architecture. O...
Radoslaw Szymanek, Francky Catthoor, Krzysztof Kuc...
We propose a space-efficient scheme for summarizing multidimensional data streams. Our sketch can be used to solve spatial versions of several classical data stream queries effici...
John Hershberger, Nisheeth Shrivastava, Subhash Su...
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
An increasing number of database applications require online access to massive amounts of data. Since large-scale storage systems implemented entirely on magnetic disk can be impr...
Bruce Hillyer, Rajeev Rastogi, Abraham Silberschat...
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...