—Computer systems often reach a point at which the relative cost to increase some tunable parameter is no longer worth the corresponding performance benefit. These “knees” t...
Ville Satopaa, Jeannie R. Albrecht, David Irwin, B...
Pattern discovery in sequences is an important problem in many applications, especially in computational biology and text mining. However, due to the noisy nature of data, the tra...
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Abstract— Many of today’s data-intensive applications manipulate disk-resident data sets. As a result, their overall behavior is tightly coupled with their disk performance. Un...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, F...
We have created an application, called PRIMA (Patient Record Intelligent Monitoring and Analysis), which can be used to visualize and understand patient record data. It was develo...
Donna L. Gresh, David A. Rabenhorst, Amnon Shabo, ...