This paper describes an approach (and its implementation) on how to handle the large number of data from user centered engineering processes. It uses objectoriented abstraction me...
Nonlinear dimensionality reduction methods are often used to visualize high-dimensional data, although the existing methods have been designed for other related tasks such as mani...
Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Hele...
In smart item environments, multitude of sensors are applied to capture data about product conditions and usage to guide business decisions as well as production automation proces...
Anja Klein, Hong Hai Do, Gregor Hackenbroich, Marc...
What modes and domains of knowledge about data production processes are most critical for producing high-quality data? This study provides an answer to this question. Data are coll...
The fragmentation of knowledge management (KM) as a field and as an area of research poses serious theoretical challenges for researchers. The viability of KM rests on how the com...