Summary This article tries to work out how scientific data are generated and what causes lead incorrect data. For this purpose, interactions between humans, computers machines analyzed. The handling of that has already been published must also be clarified. final, ethical question is: extent people responsible for their actions if decisions shaped by scientifically proven?

One of the known classification approaches in data mining is rule induction (RI). RI algorithms such as PRISM usually produce If-Then classifiers, which have a comparable predictive performance to other traditional classification approaches such as decision trees and associative classification. Hence, these classifiers are favourable for carrying out decisions by users and hence they can be uti...

Unicolonial ant populations are the most extensive cooperative units known in nature, forming networks of interconnected nests extending sometimes hundreds of kilometers. Within such a supercolony, worker altruistic behavior might be maladaptive, because it seems to aid random members of the population instead of relatives. However, recent genetic and behavioral data show that, viewed on a suff...

An association rule generation algorithm usually generates too many rules including a lot of uninteresting ones. Many interestingness criteria are proposed to prune those uninteresting rules. However, they work in post-pruning process and hence do not improve the rule generation ef£ciency. In this paper, we discuss properties of informative rule set and conclude that the informative rule set in...

While human-oriented controlled languages developed and applied in the domain of technical documentation have received considerable attention, language control exerted in the process of legislative drafting has, until recently, gone relatively unnoticed by the controlled language community. This paper considers existing legislative drafting guidelines from the perspective of controlled language...