Learn More
In mining data streams the most popular tool is the Hoeffding tree algorithm. It uses the Hoeffding's bound to determine the smallest number of examples needed at a node to select a splitting attribute. In the literature the same Hoeffding's bound was used for any evaluation function (heuristic measure), e.g., information gain or Gini index. In this paper,(More)
UNLABELLED Skinfold thicknesses are used as valid anthropometric indicators of regional body fatness. Actual population-based values for skinfold thicknesses for Polish children are not available. The purpose of this study was to provide population-based values for triceps, subscapular, and abdominal skinfold thicknesses in healthy children and adolescents.(More)
Since the Hoeffding tree algorithm was proposed in the literature, decision trees became one of the most popular tools for mining data streams. The key point of constructing the decision tree is to determine the best attribute to split the considered node. Several methods to solve this problem were presented so far. However, they are either wrongly(More)
One of the most popular tools for mining data streams are decision trees. In this paper we propose a new algorithm, which is based on the commonly known CART algorithm. The most important task in constructing decision trees for data streams is to determine the best attribute to make a split in the considered node. To solve this problem we apply the(More)
INTRODUCTION In the 1980s, the idea evolved that some individuals with normal weight (Metabolically Obese, Normal-Weight), who probably have increased abdominal fat, have metabolic disturbances related to obesity. This observation initiated the concept of the metabolically obese but normal-weight syndrome (MONW). Since then, there have been only a few(More)
Decision trees are the commonly applied tools in the task of data stream classification. The most critical point in decision tree construction algorithm is the choice of the splitting attribute. In majority of algorithms existing in literature the splitting criterion is based on statistical bounds derived for split measure functions. In this paper we(More)
BACKGROUND Wide-necked intracranial aneurysms have been a challenge for endovascular techniques. With the advent of adjunctive devices such as balloons or stents, recanalisation rates have decreased secondary to better packing. PURPOSE The purpose of this registry was to evaluate the safety and effectiveness of the new Low-profiled Visualized Intraluminal(More)
In this paper, a new method for constructing decision trees for stream data is proposed. First a new splitting criterion based on the misclassification error is derived. A theorem is proven showing that the best attribute computed in considered node according to the available data sample is the same, with some high probability, as the attribute derived from(More)
It is hypothesized that primary hypertension (PH) is a disorder with origins in childhood linked to, at least in part, aberrations of growth and maturation processes. To evaluate the possible relation between the rate of biological maturity and development of PH, bone age (BA) assessments on the basis of dual x-ray absorptiometry-derived hand scans were(More)