: In knowledge discovery and data mining many measures of interestingness have been proposed in order to measure the relevance and utility of the discovered patterns. Among these m...
Izabela Brzezinska, Salvatore Greco, Roman Slowins...
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
In this work a new optimization method, called the heuristic Kalman algorithm (HKA), is presented. This new algorithm is proposed as an alternative approach for solving continuous,...
A key issue in the study of protein signaling networks is understanding the relationships among proteins in the network. Understanding these relationships in the context of a netw...
Edward E. Allen, Jacquelyn S. Fetrow, David J. Joh...
Movement in wireless and sensor environments changes the degree to which we can communicate. Whereas sensor networks are generally seen as static, in many situations there is at l...