The increasing availability of digital educational resources in the Internet, called learning
objects, has been followed by the definition of indexing standards. However, the lack of …

Knowledge elements are the basic unit of knowledge. Extracting knowledge elements from
literatures enables granular knowledge organization and retrieval. This paper proposes a …

Even though education and knowledge are processes inherent to human development and
are present in all cultures since the earliest and most remote age, the educational model …

Este trabalho teve como objetivo a aplicação da análise de componentes principais, da
análise de agrupamentos pelo método hierárquico aglomerativo e da rede neural do tipo …

We use a variant of learning vector quantization (LVQ) for extracting a rule based
characterization of given labeled mixed domain data. Thereby, standard LVQ is improved to …

Jede Beeinträchtigung des Verkehrsflusses unterliegt konkreten Ursachen. Oft entstehen sie
aus vorherrschenden Rahmenbedingungen wie Wetter oder besonderen Ereignissen. Ein …

The central challenge facing computational intelligence approaches is the problem of
extracting knowledge from data. How does one combine extracted knowledge with available …

In application domains such as medicine, where a large amount of data is gathered, a
medical diagnosis and a better understanding of the underlying generating process is an …

In our previous work we presented a variation of Self-Organizing Map (SOM), CSOM that
applies a different learning mechanism useful for situations where the aim is to extract rules …

Within the personal health domain, there is a vast amount of temporal knowledge that can
be collected about an individual (eg, their time-stamped heart rate and step count data) due …