The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Displaying scanned book pages in a web browser is difficult, due to an array of characteristics of the common user's configuration that compound to yield text that is degrade...
Alexander J. Quinn, Chang Hu, Takeshi Arisaka, Ann...
This study evaluates single-mouse and multiple-mouse configurations for computer-aided learning in schools where access to computers is limited due to resource constraints. Multim...