A problem in computer security is identification of attack signatures in network packets. An attack signature is a pattern of bits that characterizes a particular attack. Because there are many kinds of attacks, there are potentially many attack signatures. Furthermore, attackers may seek to avoid detection by altering the attack mechanism so that…

Recognition of spontaneous emotion would influence human-computer interaction and emotion-related studies in many related fields. In any given environment, the spontaneous generation of expression are more often observed than their prototypic counterparts.This thesis explores methods for detecting emotional facial expressions occurring in a…

Authorship attribution of source code is the task of deciding who wrote a program, given its source code. Applications include software forensics, plagiarism detection, and determining software ownership. A number of methods for the authorship attribution of source code have been presented in the past. A review of those existing methods is…

Aspect-Oriented Software Development (AOSD) is a new approach that addresses limitations inherent in conventional programming, especially the principle of separation of concerns by emphasizing the encapsulation and modularization of crosscutting concerns through a new abstraction, the "aspect." Aspect-oriented programming is an emerging AOSD…

If it is true that bullying begins in elementary school and peaks in middle school, schools are obvious laboratories of research, undeniable arenas of investigation. With a reality of physical, social, and emotional undoing, and a result of serious short and long term repercussions, this phenomenon not only affects the social environments, but the…

The importance of school counselors in influencing positive change in students is well established. Far less research is available documenting school counselor use of data driven decision making to positively impact identified groups of at risk students. Hispanics represent the largest and fastest growing student population for academic…

In this dissertation we develop a framework that combines data mining, statistics and operations research methods for improving real-time decision support systems in healthcare. Our approach consists of three main concepts: data gathering and preprocessing, modeling, and deployment. We introduce the notion of offline and semi-offline modeling to…