Intrusion detection systems are distributed applications that analyze the events in a networked system to identify malicious behavior. The analysis is performed using a number of ...
It has been our effort at Ringling school to provide our campus community with the capability to uniformly access resources across multiple platforms. Empowering the user with a s...
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientific, medical and business applications. Various algor...
Omer F. Rana, David W. Walker, Maozhen Li, Steven ...
In this paper, we studied the semantic consistency maintenance issue between heterogeneous contexts, that is, how a firm business process of one e-marketplace can be transformed t...
Background: With the advent of increasing sequence and structural data, a number of methods have been proposed to locate putative protein binding sites from protein surfaces. Ther...