We use decision trees and genetic algorithms to analyze the academic performance of students throughout an academic year at a distance learning university. Based on the accuracy of the generated rules, and on crossexaminations of various groups of the same student population, we surprisingly observe that students’ performance is clustered around tutors.

Abstract. Estimating entropies from limited data series is known to be a non-trivial task. Näıve estimations are plagued with both systematic (bias) and statistical errors. Here, we present a new “balanced estimator” for entropy functionals (Shannon, Rényi and Tsallis) specially devised to provide a compromise between low bias and small statistical errors, for short data series. This new estima...

we have applied an automatic interpretation method of potential data called an-eul in unexploded ordnance (uxo) prospective which is indeed a combination of the analytic signal and the euler deconvolution approaches. the method can be applied for both magnetic and gravity data as well for gradient surveys based upon the concept of the structural index (si) of a potential anomaly which is relate...

the aim of study is to reveal underlying factors from variable data collected on results web-based ideas management systems related and tangible in companies. The purpose factor analysis process collect information contained a large number changes such way as obtain latent with minimal loss. Authors have conducted global survey for enterprises that apply these (n500). 8 variables fit together “...

A large portion of scientific results is based on analysing and processing research data. In order for an eScience experiment to be reproducible, we need to able to identify precisely the data set which was used in a study. Considering evolving data sources this can be a challenge, as studies often use subsets which have been extracted from a potentially large parent data set. Exporting and sto...