The goal of Process Mining is to extract process models from logs of a system. Among the possible models to represent a process, Petri nets is an ideal candidate due to its graphic...
Josep Carmona, Jordi Cortadella, Michael Kishinevs...
— As an emerging research method to deal with information and knowledge processing, various topics of granular computing have recently received more attention by researchers. The...
Algebraic factorization is an extremely important part of any logic synthesis system but is computationally expensive. Hence it is important to look at parallel processing to spee...
This paper presents a new framework for drawing graphs in three dimensions. In general, the new framework uses a divide and conquer approach. More specifically, the framework divi...
Frequent embedded subtree pattern mining is an important data mining problem with broad applications. In this paper, we propose a novel embedded subtree mining algorithm, called Pr...