The results of the this study showed that there is a difference in individual and interactive impact of technological, organizational and environmental factors on the diffusion of e-services in the public sector, as well as a difference regarding the factors that independently impact the...

Because of its many advantages, the use of decision trees has become an increasingly popular alternative predictive tool for building classification and regression models. Its origins date back for about five decades where the algorithm can be broadly described by repeatedly partitioning the...

Pruning decision tree is an effective method to avoid the phenomena of overfitting. Various pruning methods have been proposed in many literatures. This paper gives a new decision tree pruning method based on Rough Set Theory (RST). According to the concept of explicit region in literature, this...

A tree is said to be -magic if there exits a super magic labeling such that then the vertices of is partioned into three color classes , , so that the vertex labels in ∈ {1,2,3} are all consecutive labels. In this paper we have given -magic labeling of a class of trees with diameter four that...

Rapid technological development and progress lead to the need for better and more efficient education which should prepare the applicant for increasingly flexible labour market. The goal of this research is to create models for prediction of student's efficacy, compare them, find the key factors...

In this paper by modifying the definition of edge-magic labelling for trees we give further strength to the edge-magic tree conjecture. We have shown the complete binary trees and comets (2-stars) are strong edge-magic

This paper proposes a set of new methods to estimate inequality of opportunity based on conditional inference regression trees. It illustrates how these methods represent a substantial improvement over existing empirical approaches to measure inequality of opportunity. First, the new methods...