Knowledge Discovery for Design Pattern Selection

Pattern Theoretic Knowledge Discovery

y Abstract Future research directions in Knowledge Discovery in Databases (KDD) include the ability to extract an overlying concept relating useful data. Current limitations involve the search complexity to nd that concept and what it means to be \useful." The Pattern Theory research crosses over in a natural way to the aforementioned domain. The goal of this paper is threefold. First, we prese...

Knowledge Discovery by Design

Designing an Ontology for Knowledge Discovery in Iran’s Vaccine

Ontology is a requirement engineering product and the key to knowledge discovery. It includes the terminology to describe a set of facts, assumptions, and relations with which the detailed meanings of vocabularies among communities can be determined. This is a qualitative content analysis research. This study has made use of ontology for the first time to discover the knowledge of vaccine in Ir...

Forms of Discovery for Design Knowledge

The article at hand analyses an often disregarded aspect of design science research that is how design knowledge is actually built or, more precisely, how new design knowledge is discovered. In the article we distinguish abductive and inductive forms of discovery. We describe how inductive and abductive discoveries are dealt with in traditional science and how these two forms of discovery have ...

Unsupervised Feature Selection for Pattern Discovery in Seismic Wavefields

This study presents an unsupervised feature selection approach for the discovery of significant patterns in seismic wavefields. We iteratively reduce the number of features generated from seismic time series by first considering significance of individual features. Significance testing is done by assessing the randomness of the time series with the Wald-Wolfowitz runs test and by comparing obse...