Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
One of the most important tasks for determining association rules consists of calculating all the maximal frequent itemsets. Specifically, some methods to obtain these itemsets hav...
ADDS (Approach to Document-based Development of Software) is an approach to the development of applications based on a document-oriented paradigm. According to this paradigm, appli...
This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24hour load forecasting problem. Also, based on recorded...
Nowadays many real problems can be modeled as Constraint Satisfaction Problems (CSPs). In many situations, it is desirable to be able to state both hard constraints and soft constr...
In decision support systems for Intensive Care Units (ICU), the data management subsystem plays an essential role since the data have a heterogeneous origin. The temporal dimension...
Non-classical logics have proven to be an adequate framework to formalize knowledge representation. In this paper we focus on a multimodal approach to formalize order-of-magnitude ...
A new method for ensemble generation is presented. It is based on grouping the attributes in dierent subgroups, and to apply, for each group, an axis rotation, using Principal Com...
Nowadays, there is a need for smart learning environments that offer personal services with capabilities to learn, reason, have autonomy and be totally dynamic. In this paper, we p...