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Rough set data analysis (RSDA) has recently become a frequently studied symbolic method in data mining. Among other things, it is being used for the extraction of rules from databases; it is, however, not clear from within the methods of rough set analysis, whether the extracted rules are valid. In this paper, we suggest to enhance RSDA by two simple statistical procedures, both based on ran-do...

Program slicing is a technique which supports program comprehension. Program slicing extracts all statements — called a program slice — that may affect a certain statement. However, program slicing is not useful if an analysis target program is too large since program slices of such a program are also often too large. Thin slicing is a technique reducing the size of program slice by extracting ...

The basic conclusions in almost all reports on new drug applications and in all publications in toxicology are based on statistical methods. However, serious contradictions exist in practice: designs with small samples sizes but use of asymptotic methods (i.e. constructed for larger sample sizes), statistically significant findings without biological relevance (and vice versa), proof of hazard ...

We describe a methodology for evaluating the statistical performance of information distillation systems and apply it to a simple illustrative example. (An information distiller provides written English responses to English queries based on automated searches/transcriptions/translations of English and foreign-language sources. The sources include written documents and sound tracks.) The evaluat...

This paper proposes statistical approaches to test if the difference between two ontology matchers is real. Specifically, the performances of the matchers over multiple data sets are obtained and based on their performances, the conclusion can be drawn whether one method is better than one another or not. To do so, the paired t-test and Wilcoxon signed rank test are proposed and the comparisons...

A serious bottleneck of comparative parser evaluation is the fact that different parsers subscribe to different formal frameworks and theoretical assumptions. Converting outputs from one framework to another is less than optimal as it easily introduces noise into the process. Here we present a principled protocol for evaluating parsing results across frameworks based on function trees, tree gen...

If two translation systems differ differ in performance on a test set, can we trust that this indicates a difference in true system quality? To answer this question, we describe bootstrap resampling methods to compute statistical significance of test results, and validate them on the concrete example of the BLEU score. Even for small test sizes of only 300 sentences, our methods may give us ass...

Statistical evaluation of the passive structure for the vessel detection is considered. The passive detection structure is based on the statistical likelihood ratio test and on the Neyman-Pearson statistical criterion. The assumption is that a vessel is approximately so-called noisy vessel. It means that the underwater acoustic vessel noise is approximately a stationary ergodic stochastic zero ...

Nowadays we find in the market low quality and useful educational multimedia software products. These products don't respond to the initial expectations, fundamentally for three reasons: 1) the quick development of new technologies of information; 2) the lack of a specific methodology with a rigorously scientific theoretical and practical base and 3) the difficulty to define and to quantify the...