Hyperanalyse
Hyperanalyse is an integrated analytical framework used to extract actionable insights from large, heterogeneous data sources by combining rapid data processing, multi-modal modeling, and meta-analytic synthesis.
It aims to fuse structured data (numerical, categorical) with unstructured data (text, images, audio) and to apply
Origins of the term began to appear in scholarly and industry discussions in the early 2010s as
Methods and workflow: A typical hyperanalyse pipeline includes data ingestion and harmonization, feature extraction, joint or
Applications and limitations: Hyperanalyse has been proposed for business intelligence, scientific research, public policy, cybersecurity, and