-In association rules mining application, some rules can provide a lot of useful knowledge for us, though these rules have the lower Support, called weak-support mode in this paper. However, in existing Support-Confidence framework, the rules with lower Support will be lost. Thus, this paper puts forward a new association rules mining technique, which sets up the lower support threshold value t...

The support measures of a convex body are a common generalization of the curvature measures and the area measures. With respect to the Hausdorff metric on the space of convex bodies, they are weakly continuous. We provide a quantitative improvement of this result, by establishing a Hölder estimate for the support measures in terms of the bounded Lipschitz metric, which metrizes the weak converg...

Endurance and sporting events have increased in popularity and participation in recent years worldwide, and with this comes the need for medical directors to apply innovative operational strategies and nutritional support to meet such demands. Mass endurance events include sports such as cycling and running half, full and ultra-marathons with over 1000 participants. Athletes, trainers and healt...

This paper assesses whether support for harsh punitive policies toward crime is related to the racial typification of crime for a national random sample of households (N=88.5), surveyed in 2002. Results f rom OLS regression show that the racial typification of crime is a significant predictor of punitiveness, independent of the influence of racial prejudice, conservatism, crime salience, southe...

We study sparse spikes deconvolution over the space of Radon measures when the input measure is a finite sum of positive Dirac masses using the BLASSO convex program. We focus on the recovery properties of the support and the amplitudes of the initial measure in the presence of noise as a function of the minimum separation t of the input measure (the minimum distance between two spikes). We sho...

Copulas can be used to describe multivariate dependence structures. We explore the rôle of copulas with fractal support in the study of association measures. 1 General introduction and motivation Copulas are of interest because they link joint distributions to their marginal distributions. Sklar [12] showed that, for any real-valued random variables X1 and X2 with joint distribution H, there ex...

Vitamin E is a potent reactive oxygen metabolites (ROM) scavenger. It is a lipid-soluble vitamin and its main function is to protect polyunsaturated fatty acids against oxidative stress. Twenty-five mechanically ventilated Intensive Care Unit (ICU) adult patients participated in a prospective randomized clinical trial receiving either placebo (10 patients) or 3 IM doses (1000 IU each) of vitami...

In this paper, an evaluation of measurements that can be used by a personal support agent to measure the quality of human task performance is addressed. Such measurements are important in order for a support agent to give effective and personalized support during the performance of demanding tasks. Hereby, the performance quality measurement is addressed from two perspectives, namely the human’...

Support Vector machines (SVM) is a new and very promising classification technique developed from the theory of Structural Risk Minimisation [1]. In this paper, we propose an alternative out-of-vocabulary word detection method relying on confidence measures and support vector machines. Confidence measures are computed from phone level information provided by a Hidden Markov Model (HMM) based sp...

We present the Hockey Line Extraction (HLE) Algorithm, which examines ice hockey scoring summaries in an attempt to determine a team’s lines. The players on a hockey team are divided into units called “lines” that appear together on the ice. The HLE algorithm uses single link clustering, support based measures and positional information to identifr lines of players. The Hockey Lines software en...