This paper presents the analysis of the optimization for the production of precast pieces in a workshop with the help of simulation to obtain several working alternatives. The mai...
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
We present techniques for discovering and exploiting regularity in large curvilinear data sets. The data can be based on a single mesh or a mesh composed of multiple submeshes (al...
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based r...