The increasing amount of available data in production systems is associated with great potential for process optimization. Due to lack a analytics methodology and low quality within these potentials often remain unused. Therefore, this paper we present model acquisition preparation including feature engineering characteristic sensor signals machines. allows the extraction relevant information f...

Objective ‐ Recent research has yielded several studies helpful for understanding the use of the survey technique in various library environments. Despite this, there has been limited discussion to guide library practitioners preparing survey questions. The aim of this article is to provide practical suggestions for effective questions when designing written surveys. Methods ‐ Advice and import...

High-throughput technologies produce massive amounts of data. However, individual methods yield data specific to the technique used and biological setup. The integration of such diverse data is necessary for the qualitative analysis of information relevant to hypotheses or discoveries. It is often useful to integrate these datasets using pathways and protein interaction networks to get a broade...

Abstract Data analysis often uses data sets that were collected for different purposes. Indeed, new insights are obtained by combining produced independently of each other, example from outside an organization with internal resources. As a result, there is need to discover, clean, integrate and restructure into form suitable intended analysis. preparation, also known as wrangling, the process w...