Rapid changes are occurring in our global ecosystem, and stresses on human well-being, such as climate regulation food production, increasing, soil is a critical component of agriculture. The project aims to use Data Mining (DM) classification techniques predict data. Analysis DM strategies k-Nearest-Neighbors (k-NN), Random-Forest (RF), Decision-Tree (DT) Naïve-Bayes (NB) used type. These clas...

This paper deals with packet classification in computer networks. Classification is the key task in many networking devices, most notably packet filters – firewalls. This paper therefore concerns the area of computer security. The paper is focused on high-speed networks with the bandwidth of 100Gb/s and beyond. General-purpose processors cannot be used in such cases, because their performance i...

This paper presents an alternative approach to the problem of regression. The methodology we describe allows the use of classification algorithms in regression tasks. From a practical point of view this enables the use of a wide range of existing Machine Learning (ML) systems in regression problems. In effect, most of the widely available systems deal with classification. Our method works as a ...

Diagnosis-Related Group (DRG) systems across Europe are very heterogeneous, in particular because of different classification variables and algorithms as well as costing methodologies. But, given the challenge of increasing patient mobility within Europe, health systems are forced to incorporate a common patient classification language in order to compare and identify similar patients e.g. for ...