The PPA Scholarship is a support for educational costs that given to students who have taken at least semester 2 in Higher Education with consideration of limited economic capacity and academic non-academic achievements. In classifying are eligible scholarships, the management has difficulties because scholarships not proportional number students. One solution utilize data received previous yea...

Data mining involves the systematic analysis of large data sets , and data mining in agricultural soil datasets is exciting and modern research area. The productive capacity of a soil depends on soil fertility. Achieving and maintaining appropriate levels of soil fertility, is of utmost importance if agricultural land is to remain capable of nourishing crop production. In this research, Steps f...

Data miners have access to a significant number of classifiers and use them on a variety of different types of dataset. This large selection makes it difficult to know which classifier will perform most effectively in any given case. Usually an understanding of learning algorithms is combined with detailed domain knowledge of the dataset at hand to lead to the choice of a classifier. We propose...

Supporting learning activities during work has gained momentum for organizations since work-integrated learning (WIL) has been shown to increase productivity of knowledge workers. WIL aims at fostering learning at the workplace, during work, for enhancing task performance. A key challenge for enabling task-specific, contextualized, personalized learning and work support is to automatically dete...

Medical image retrieval to search for clinically relevant and visually similar images depicting suspecious lesions have been attracting research interest. Content-based image retrieval (CBIR) is an important alternate and complement to traditional text-based retrieval using keywords. We have implemented CBIR system based on effective use of texture information within the images obtained by stat...

Medical image retrieval to search for clinically relevant and visually similar images depicting suspecious lesions have been attracting research interest. Content-based image retrieval (CBIR) is an important alternate and complement to traditional text-based retrieval using keywords. We have implemented CBIR system based on effective use of texture information within the images obtained by stat...

Introduction: Landslide is one of the most widespread geohazards around world. Therefore, it necessary and meaningful to map regional landslide susceptibility for mitigation. In this research, maps were produced by four models, namely, certainty factors (CF), naive Bayes (NB), J48 decision tree (J48), multilayer perceptron (MLP) models. Methods: first step, 328 landslides identified via histori...

Object recognition is a research area that aims to associate objects to categories or classes. The recognition of object specific geospatial features, such as roads, buildings and rivers, from high-resolution satellite imagery is a time consuming and expensive problem in the maintenance cycle of a Geographic Information System (GIS). Feature selection is the task of selecting a small subset fro...

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...