Cochrane Qualitative and Implementation Methods Group guidance series paper 3: methods for assessing methodological limitations, data extraction and synthesis, and confidence in synthesized qualitative findings

Accepting some methodological limitations like group size, cross-sectional or using questionnaires and behaviour reports taken from a single source of information, the findings

Linked data, enterprise data, data models, big data streams, neural networks, data infrastructures, deep learning, data mining, web of data, signal processing, smart cities,

Validation is an important feature in any method of measurement because it is closely related to the quality of the results. A method of analysis is characterised by its

The aim of this paper is to overcome these limitations and present the reconstruction of a firewood consumption data series between 1860 and 2010, which offers details at the level

In this study, the application of one data-driven method, RBFLN, and two knowledge-driven methods (Fuzzy AHP_OWA and fuzzy group decision making) has been

In chapter 3, the overview and challenges of integrative –omics analysis and the main statistical methods that have been used for data integration is described and in chapter

Petri nets have proved their usefulness for the modelling, analysis, and simulation of a diversity of biological networks, covering qualitative, stochastic, continuous and

 The expansionary monetary policy measures have had a negative impact on net interest margins both via the reduction in interest rates and –less powerfully- the flattening of the