… Our empirical investigation followed a mixed methods … -accepted practice in large-scale
empirical research where no … , this study employs a fuzzy-set Qualitative Comparative Analysis (…

… Second, we review several techniques on big data analytics with … review the impact of
uncertainty on several big data analytic … is practical in many ML or data mining tasks as a major …

… the data in unstructured format, analytical methods and tools were discussed and recommended.
Typical definitions of big data … for academia and practice were emphasized. Based on …

… the implications of the results for theory and practice, limitations of our study and further research
directions. … Hence, we can argue that PLS is a suitable tool for exploratory research. Our …

… study is identifying two pathways that managers can use to improve sustainable supply chain
outcomes in the mining industry, based on big data analytics … Big data analytics (BDA) tools …

… dimensionality reduction techniques are … techniques and their suitability for different types
of data and application areas. Furthermore, the issues of dimensionality reduction techniques …

… the feasibility of indicators in practice and of their use in actual decision-making. Another
interesting research avenue consists of developing methods to analyze the systemic relations …

… techniques and technologies for data storage, analysis, and visualization. Yet, empirical
research on the competitive potential that big data analytics … from research and practice highlight …

… techniques for scientific data collection in the era of big data allow for the systematic
accumulation of large quantities of data at various data… of different data analysis approaches has …

… this paper is to study the impact of dimensionality reduction techniques on the performance
… techniques namely Linear Discernment Analysis (LDA) and Principle Component Analysis (…