Network traffic classification continues to be an interesting subject among numerous networking communities. This method introduces multi-beneficial solutions in different avenues, such as network security, network management, anomaly detection, and quality-of-service. In this paper, we propose a supervised machine learning method that efficiently classifies different types of applications usin...

Many machine learning areas use subsampling techniques with different objectives: reducing the size of the training set, equilibrate the class imbalance or non-uniform cost error, etc. Subsampling affects severely to the behavior of classification algorithms. Decision trees induced from different subsamples of the same data set are very different in accuracy and structure. This affects the expl...

Decision tree is a divide and conquer classification method used in machine learning. Most pruning methods for decision trees minimize a classification error rate. In uncertain domains, some sub-trees which do not decrease the error rate can be relevant to point out some populations of specific interest or to give a representation of a large data file. We present here a new pruning method (call...

The aim was to use high resolution Aerial Laser Scanning (ALS) data and aerial images to detect European aspen (Populus tremula L.) from among other deciduous trees. The field data consisted of 14 sample plots of 30 m × 30 m size located in the Koli National Park in the North Karelia, Eastern Finland. A Canopy Height Model (CHM) was interpolated from the ALS data with a pulse density of 3.86/m2...

This paper proposes a high-precision, high-speed keypoint matching method using a two-stage Randomized Trees. The keypoint classification method uses the conventional Randomized Trees to enable highprecision, real-time keypoint matching. But the wide variety of view transformations for templates expressed by Randomized Trees make high-precision keypoint classification for all transformations di...

The palm tree is considered one of the most durable trees , and it occupies an advanced position as famous important that are planted in different regions around world, which enter into many uses have a number benefits. In recent years date palms been exposed to large diseases. These diseases differ their symptoms causes, sometimes overlap, making diagnosing process with naked eye difficult, ev...

using satellite imagery for the study of earth's resources is attended by manyresearchers. in fact, the various phenomena have different spectral response inelectromagnetic radiation. one major application of satellite data is the classification ofland cover. in recent years, a number of classification algorithms have been developed forclassification of remote sensing data. one of the most nota...