While the problem of analyzing network traffic at the granularity of individual connections has seen considerable previous work and tool development, understanding traffic at a ...
Progressing beyond the productivity of present-day languages appears to require using domain-specific knowledge. Domain-specific languages and libraries (DSLs) proliferate, but ...
Classifying is a central activity in object-oriented programming and distinguishes it from procedural programming. Traditional logic, initiated by Aristotle, assigns classificatio...
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...