Which data analytics technique, originally developed for retail customer behavior tracking, revolutionized the discovery of exoplanets by identifying subtle stellar brightness patterns?

The astronomy industry has undergone a massive transformation through advanced data analytics. Modern telescopes and observatories generate petabytes of data annually, requiring sophisticated retail-inspired data analytics techniques to process and extract meaningful insights. From identifying distant exoplanets to mapping dark matter, these analytics platforms have revolutionized our understanding of the cosmos. Test your knowledge about how retail-style data analytics has transformed astronomical research and discovery!

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Association Rule Mining algorithms, adapted from shopping basket analysis to detect periodic dimming patterns in star brightness data
Facial recognition neural networks, repurposed to identify stellar atmosphere compositions from spectral data
Inventory forecasting models, modified to predict potential locations of black holes based on gravitational lensing
Customer segmentation clustering, applied to categorize galaxies based on formation patterns and elemental composition