An evidential analytics for buried information in big data samples: Case study of semiconductor manufacturing.

•Generating analytical dimensions thus fulfilling variables’ clusters with similarity and dominance.•Proposing priori data for inference thus able to generate analytics baselines and estimate the damage’s relevance for samples.•Providing buried indexes for sparse and scarce damages, and fulfilling cause effect analysis.