— A manufacturer producing several items keeps them into safety stocks (buffers) in order to supply an external stochastic demand without interruptions. We consider the classical...
Francesco Borrelli, Carmen Del Vecchio, Alessandra...
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
We present systems of logic programming agents (LPAS) to model the interactions between decision-makers while evolving to a conclusion. Such a system consists of a number of agents...
Background: A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compos...
Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang W...