Scientists can become the trusted source for credible, relevant, comprehensible information by avoiding advocacy and letting the science speak for itself.

We propose comprehensible rendering of Google Streetview Images using watercolor textures and line drawings. We discuss our experiments and results of watercolor rendering.

This paper presents a method to describe the operational semantics of languages based on their meta-model. We combine the established high-level modelling languages MOF, OCL, and UML activities to create language models that cover abstract syntax, runtime configurations, and the behaviour of runtime elements. The method allows graphical and executable language models. These models are easy to r...

The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the user comprehend the collection’s content faster and are essential for various document browsing interfaces. The task of creating descriptive, sensible cluster labels is difficult—typical text clustering algorithms focu...

Although texture-based methods provide a very promising way to visualize 3D vector fields, they often fail for 3D volume due to their dense 3D texture. In this paper, we introduce the notion of "3D significance map", and describe how significance values are derived from the intrinsic properties of a vector field. Based on the 3D significance map, we can control transfer functions for comprehens...

One of the key decision activities in financial institutions is to assess the credit-worthiness of an applicant for a loan, and thereupon decide whether or not to grant the loan. Many classification methods have been suggested in the credit-scoring literature to distinguish good payers from bad payers. Especially neural networks have received a lot of attention. However, a major drawback is the...

In recent years, numerous articles, books, and even Web sites have offered advice for designing hypertext documents, multimedia, and Web sites. This advice is often based on common sense and professional experience, not research, though the same thing can be said about any type of instruction. But the bigger problem is that these guides spend only a few pages, if any, on actual writing topics—f...

The purpose of this paper is to draw attention to a semantic feature of language which must be well understood before it is even imaginable that machines should be programmed to do genuine M.T.M.T., that is, of which the input is both unrestricted, and also composed of heterogeneous and randomly-chosen texts. This feature is the argument, or message, of any piece of discourse. It has been shown...

The increasing amounts of data have affected conceptual modeling as a research field. In this context, process mining involves set techniques aimed at extracting schema from an event log generated during execution. While automatic algorithms for and analysis are needed to filter out irrelevant produce preliminary results, visual inspection, domain knowledge, human judgment creativity proper int...